Engineering Jobs in UAE

Role: Senior Engineer - AI Platforms (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications.<br>Key Responsibilities:• Design, build, and optimize AI models using machine learning frameworks such as Tensor Flow or PyTorch.• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.• Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation.• Implement best practices for data preprocessing, feature engineering, and model training.• Document technical specifications, model performance metrics, and deployment procedures.<br>Required Skills & Qualifications:• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.• Experience with Python and libraries for data analysis and AI development.• Knowledge of neural network architectures and model training techniques.• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment.• Strong problem-solving skills and the ability to optimize models for real-world performance.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The work directly impacts product innovation and user experience.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>About Andromeda<br><br>Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.<br><br>We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.<br><br>Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.<br><br>Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.<br><br>The Role<br><br>This is not a generalist SRE role, and it is not a support role. You will embed directly with the teams running large-scale training and inference on our clusters. You are responsible for onboarding them, tuning their jobs, and debugging their failures alongside them, while owning the infrastructure and automation that makes those clusters reliable in the first place.<br><br>Forward deployed means you spend real time inside customer environments: reading their training code, sitting in their Slack channels, watching their runs, and shipping fixes that land in our platform. When a multi-hundred-GPU run stalls, you are the person who figures out whether it's the fabric, the driver, the scheduler, or their dataloader, then you make sure it can't happen the same way twice.<br><br>We're looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework. Equally important: you can explain what you found to someone else's engineering team without condescension, and turn that conversation into a product improvement.<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>What Success Looks Like<br><br>By the end of your first year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>Forward Deployed Engineer - SRE<br><br>Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>By The End Of Your First Year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role: Go Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients to build the next generation of dialog agents with wide-ranging applications in education, entertainment, and question-answering systems. The role involves close collaboration with cross-functional teams to define, design, and deliver new features.<br>Key Responsibilities:• Review AI-generated code and solutions to ensure adherence to quality standards and development best practices• Organize development cycles, set priorities, and define project goals and deadlines• Resolve complex coding issues using Go expertise during AI validation and system integration• Verify accuracy, efficiency, and dependability of AI-generated code through validation processes• Analyze code, provide constructive feedback, and foster a collaborative environment that encourages innovation and continuous improvement<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in engineering, computer science, or equivalent experience• At least 3+ years of relevant software engineering experience, with a proven ability to lead teams• In-depth knowledge of Go programming language and software development best practices• Experience with AI systems and code-creation technologies, including LLM model training• Proactive contribution to public Git Hub repositories, including feature development and code refactoring for large codebases<br>More About the Opportunity:This role offers a unique opportunity to contribute to cutting-edge AI technology that powers open-ended, collaborative dialogues. The company is building scalable backend components to support high-quality LLM training and deployment across diverse frameworks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role Purpose Lead and oversee the delivery of technical services across Cement, Dry Mortar, Concrete Blocks, Ready-Mix Concrete, and other concrete products. Ensure the effective implementation of technical support services by enhancing product performance, developing innovative applications, resolving technical challenges, and promoting best practices across customer operations. Provide value-added technical services and Level 2 (L2) support to distributors, industrial customers, builders, and internal stakeholders by managing technical complaints, optimizing product performance, supporting new product development, and driving customer satisfaction. Collaborate closely with Sales, Operations, Quality, and Product Development teams to strengthen market competitiveness and business growth.<br>Accountabilities & Activities1. Customer Technical Support Supporting customers to evaluate the cementitious, cement and concrete manufacturing process, implementation and equipment for conforming standards Answering customer technical concerns related to cementitious, cement and concrete Assisting in concrete design and trial mixes at customer’s site and RM plant Labs to optimize mix-design for different requirements Providing support to customer to define concrete quality issues & solutions through site visits and lab tests Identifying and addressing technical challenges2. Product Development Work closely with the Operations team and external engineering consultants to develop new green, sustainable, and low CO2 products, as well as enhancing existing products to align with market demands3. Quality Assurance Ensure that the quality of Dry mortar, EC Blocks and Concrete produced with EC Clinker/Cement complies with industry standards and fulfills customer expectations4. Training & Education Deliver technical training and educational sessions for customers, customer’s end users and internal teams Organize and conduct technical seminars for engineers and engineering consultants in the concrete business industry Participating in related industry summits, conferences & webinars5. Troubleshooting Address and resolve customers' technical issues, concerns, and complaints related to product quality or performance by identifying the root cause and implementing corrective and preventive actions6. Market Analysis Analyzing market trends and customer quality concerns feedback (NPS, CSAT, market surveys) to uncover opportunities for product enhancement and innovation7. Documentation Prepare technical documentation, reports, quality assurance certificates, material safety data sheets (MSDS) and technical data sheets (TDS) related to product usage and performance8. Collaboration & Internal Customer Support Collaborate closely with the Sales and Operations teams to align technical support with business objectives Develop and coordinate customer visit agendas to ensure effective technical support and relationship building<br>Minimum Qualification(Educational Qualifications, Trainings, or Certifications) Bachelor’s degree Materials Science or Civil Engineering Master’s degree Business Administration - MBA (Preferred) ACI certified concrete Field-Testing Technician (Preferred) Professional Experience Minimum of 10-15 years of experience in the concrete Ready-mix industry or similar operations, with a strong background in technical service support, quality control, product optimization and failure & prevention analysis Preferred professional training and experience in Concrete technology and concrete field testing Concrete blocks manufacture process Customer Service experience Training and Lecturing experience Green products / Co2 emissions / Decarbonization QA Analysis

Role Purpose Lead and oversee the delivery of technical services across Cement, Dry Mortar, Concrete Blocks, Ready-Mix Concrete, and other concrete products. Ensure the effective implementation of technical support services by enhancing product performance, developing innovative applications, resolving technical challenges, and promoting best practices across customer operations. Provide value-added technical services and Level 2 (L2) support to distributors, industrial customers, builders, and internal stakeholders by managing technical complaints, optimizing product performance, supporting new product development, and driving customer satisfaction. Collaborate closely with Sales, Operations, Quality, and Product Development teams to strengthen market competitiveness and business growth.<br>Accountabilities & Activities1. Customer Technical Support Supporting customers to evaluate the cementitious, cement and concrete manufacturing process, implementation and equipment for conforming standards Answering customer technical concerns related to cementitious, cement and concrete Assisting in concrete design and trial mixes at customer’s site and RM plant Labs to optimize mix-design for different requirements Providing support to customer to define concrete quality issues & solutions through site visits and lab tests Identifying and addressing technical challenges2. Product Development Work closely with the Operations team and external engineering consultants to develop new green, sustainable, and low CO2 products, as well as enhancing existing products to align with market demands3. Quality Assurance Ensure that the quality of Dry mortar, EC Blocks and Concrete produced with EC Clinker/Cement complies with industry standards and fulfills customer expectations4. Training & Education Deliver technical training and educational sessions for customers, customer’s end users and internal teams Organize and conduct technical seminars for engineers and engineering consultants in the concrete business industry Participating in related industry summits, conferences & webinars5. Troubleshooting Address and resolve customers' technical issues, concerns, and complaints related to product quality or performance by identifying the root cause and implementing corrective and preventive actions6. Market Analysis Analyzing market trends and customer quality concerns feedback (NPS, CSAT, market surveys) to uncover opportunities for product enhancement and innovation7. Documentation Prepare technical documentation, reports, quality assurance certificates, material safety data sheets (MSDS) and technical data sheets (TDS) related to product usage and performance8. Collaboration & Internal Customer Support Collaborate closely with the Sales and Operations teams to align technical support with business objectives Develop and coordinate customer visit agendas to ensure effective technical support and relationship building<br>Minimum Qualification(Educational Qualifications, Trainings, or Certifications) Bachelor’s degree Materials Science or Civil Engineering Master’s degree Business Administration - MBA (Preferred) ACI certified concrete Field-Testing Technician (Preferred) Professional Experience Minimum of 10-15 years of experience in the concrete Ready-mix industry or similar operations, with a strong background in technical service support, quality control, product optimization and failure & prevention analysis Preferred professional training and experience in Concrete technology and concrete field testing Concrete blocks manufacture process Customer Service experience Training and Lecturing experience Green products / Co2 emissions / Decarbonization QA Analysis

About the Role<br>Rilian Technologies is looking for a Senior / Staff Delivery Engineer to deploy and operate production infrastructure platforms in enterprise and mission-critical environments. This is a hands-on role focused on Linux-based infrastructure, Kubernetes deployments, and on-prem environments. You will work closely with engineering and delivery teams to implement scalable, secure infrastructure platforms for customers and internal systems.<br><br>Responsibilities<br>Deploy and manage production Kubernetes environments Write high-quality technical documentation in coordination with sales and delivery teams Deliver complex infrastructure deployments across on-prem and hybrid environments Configure and maintain Linux-based systems Implement networking, storage, and system configurations required for platform deployments Troubleshoot infrastructure issues across computer, networking, and storage layers Develop automation and operational tooling using Bash and Linux scripting Support customer deployments and infrastructure integration projects Requirements<br>5+ years' experience in infrastructure, Dev Ops, platform engineering, or systems engineering2+ years production Kubernetes experience Strong Linux administration skills Experience deploying on-prem infrastructure environments Solid understanding of networking (L2/L3, DNS, firewalls) Experience with storage systems and performance optimization Experience with Bash / shell scripting Programming experience beyond scripting is not required.<br><br>About Rilian Technologies<br>Rilian Technologies delivers advanced cybersecurity and infrastructure solutions for enterprise and national security environments, supporting critical systems across global markets.

Job Purpose<br><br>At Emirates we believe in connecting the world to and through our global hub in Dubai and in constantly innovating to ensure our customers 'Fly Better'. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the worlds largest international airline and become a vital part of our cutting edge information and technology team as an IT Senior Operations & Support Engineer - Middleware support.<br><br>As an IT Senior Operations & Support Engineer - Middleware support you will analyse, support, and resolve complex incidents raised both internally and externally, and recommend solutions to reduce the number of recurring incidents to the technical team. Proactively monitor, identify, and highlight incidents and risks to ensure that IT Service Operations remain within the agreed service levels and minimize the adverse impact on business operations.<br><br>In This Role, You Will<br><br>Address customer issues and resolve Level 1 and Level 2 incidents for the Emirates Group Systems, ensuring minimal downtime and in line with the specific qualitative or quantitative targets and Key Performance Indicators(KPIs). Collaborate with internal teams and external vendors to diagnose and resolve technical issues efficiently. Utilise IT Service Management (ITSM) tools such as Service Now, Zendesk, or similar platforms to manage incidents, problems, assets, and change processes effectively. Perform root cause analysis of the reported incidents and recurring technical issues, conduct performance assessments and recommend improvements to enhance the system reliability. Contribute to the automation of the root cause analysis and incident response tools to improve response time and operational efficiency. Drive continuous improvement by proactively identifying and highlighting issues and risks that may impact the services provided by EGIT. Utilise observability platforms to monitor system performance and anomalies. Implement and support ITIL-based incidents, issues and change management processes while ensuring compliance with company cybersecurity, data protection, company policies, and industry regulations and best practices. Assist in deploying, configuring, configuring and upgrading IT systems to ensure optimal performance. Partake in a 24/7 on-call rotation, acting as an escalation point for unresolved tickets and providing timely solutions. Develop and maintain technical documentation, create knowledge-base articles, carry out knowledge transfer sessions, and mentor junior engineers to encourage a culture of continuous learning and knowledge sharing. Manage multiple priorities effectively by applying strong communication, analytical, and problem-solving skills to ensure timely and efficient service delivery.<br><br>Qualification<br><br>To be considered for this role, you will must meet the below requirements:<br><br>Degree or honours (12+3 or equivalent).2+ years of experience in Information Technology.<br><br>Knowledge/Skills<br><br>Integration product support experience in TIBCO, SOLACE, Web Sphere MQ. Expertise in microservices, event-driven solutions, API Gateway products (e.g., APIGEE, KONG), cloud integration (IPaa S like Snap Logic), and data streaming platforms like Kafka and Solace. Practical hands-on experience with observability platforms like Splunk, Dynatrace, Zabbix, App Dynamics, Datadog, and cloud platforms such as AWS and Azure.<br><br>Join our Technology Operations team, where you will play a pivotal role in our IT landscape, ensuring smooth operations and outstanding support for critical business functions globally. The team focuses on duty management, service support, infrastructure operations, change enablement, observability, and IT asset management. If you are passionate about delivering world-class IT services and fostering continuous improvement, we invite you to apply and contribute to the success of Emirates Group.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers.

Role: Senior Software Engineer - Backend (Hybrid) Location: Remote Job Type: Contract Payout: $40 - $120/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer to work on a contract basis. The role involves designing, developing, and maintaining software solutions for a platform serving global users. Responsibilities include collaborating with cross-functional teams to deliver scalable and high-performance applications.<br>Key Responsibilities:• Design, build, and maintain scalable software systems and applications.• Write clean, efficient, and maintainable code following best practices and industry standards.• Collaborate with product managers, designers, and other engineers to define project requirements.• Troubleshoot, debug, and optimize existing software to improve performance and reliability.• Participate in code reviews and contribute to architectural decisions.<br>Required Skills & Qualifications:• Proficiency in programming languages such as Python, Java, or Go.• Experience with cloud platforms including AWS, Azure, or Google Cloud.• Strong knowledge of data structures, algorithms, and software design patterns.• Familiarity with containerization and orchestration tools like Docker and Kubernetes.• Experience with CI/CD pipelines and version control systems like Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of a platform used by millions of users worldwide. The position allows for direct impact on product evolution and scalability.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Go Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients to build the next generation of dialog agents with wide-ranging applications in education, entertainment, and question-answering systems. The role involves close collaboration with cross-functional teams to define, design, and deliver new features.<br>Key Responsibilities:• Review AI-generated code and solutions to ensure adherence to quality standards and development best practices• Organize development cycles, set priorities, and define project goals and deadlines• Resolve complex coding issues using Go expertise during AI validation and system integration• Verify accuracy, efficiency, and dependability of AI-generated code through validation processes• Analyze code, provide constructive feedback, and foster a collaborative environment that encourages innovation and continuous improvement<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in engineering, computer science, or equivalent experience• At least 3+ years of relevant software engineering experience, with a proven ability to lead teams• In-depth knowledge of Go programming language and software development best practices• Experience with AI systems and code-creation technologies, including LLM model training• Proactive contribution to public Git Hub repositories, including feature development and code refactoring for large codebases<br>More About the Opportunity:This role offers a unique opportunity to contribute to cutting-edge AI technology that powers open-ended, collaborative dialogues. The company is building scalable backend components to support high-quality LLM training and deployment across diverse frameworks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Company Description SDV Consulting Engineers offers a comprehensive selection of services in all major engineering disciplines, project management, and project development. We provide FEED, EPCM, PMC, Commissioning, and Advisory Services for the industrial sector, primarily in manufacturing & processing, energy, hydrogen plants, cold stores, and specialty facilities. For more information, visit www.sdvce.com.<br>Role Description Oversee the overall performance of consultancy supervision services across assigned projects. Ensure project completion on time, within budget, and to the highest quality standards. Provide leadership in project planning, scheduling, and execution using tools like MS Project or Primavera. Conduct regular progress meetings with engineers, contractors, and clients, ensuring alignment on project goals. Maintain effective document control and general administrative processes. Manage risk and issue logs, and drive resolution processes. Act as the primary interface with external stakeholders, including end-users, asset owners, contractors, consultants, utility providers, and government authorities. Assist in the evaluation of contractor change requests, claims, and contractual issues. Lead critical discussions and negotiations to resolve project challenges effectively.<br>Qualifications Bachelor’s degree in Civil or Structural Engineering. At least 15 years of experience in project supervision and execution, with a minimum of 10 years in a Resident Engineer or Project Manager role, overseeing at least 2 construction projects in the UAE. Proficiency in project management and scheduling software (MS Project or Primavera). PMP and PQP certifications are advantageous. Strong leadership, critical thinking, and decision-making skills. Excellent written and spoken English communication skills. Thorough understanding of Abu Dhabi regulations, authorities’ requirements, and local construction standards is mandatory. Experience with projects related to steel and industrial projects are highly preferred. Candidate currently in UAE is mandatory.

Role: Senior Engineer - AI Platforms (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications.<br>Key Responsibilities:• Design, build, and optimize AI models using machine learning frameworks such as Tensor Flow or PyTorch.• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.• Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation.• Implement best practices for data preprocessing, feature engineering, and model training.• Document technical specifications, model performance metrics, and deployment procedures.<br>Required Skills & Qualifications:• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.• Experience with Python and libraries for data analysis and AI development.• Knowledge of neural network architectures and model training techniques.• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment.• Strong problem-solving skills and the ability to optimize models for real-world performance.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The work directly impacts product innovation and user experience.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Directed-Energy Research Center Directed-energy systems, such as microwave, laser, and acoustics represent a powerful emerging technology with new industrial and medical applications.<br>Our Directed-Energy Research Center’s priorities include:Cutting-edge high-power electromagnetic solutions Innovative high-energy laser systems Advanced acoustic technologies Pulsed power technologies Particle beams and plasma physics Antennas and metamaterials Radar and remote-sensing technologies<br>Job Description The Directed Energy Research Center of the Technology and Innovation Institute is looking for a Senior Opto-Mechanical Engineer who will part of the laser systems engineering division contributing to the, development, and integration, across multiple projects within the High Power Lasers and Applications department. The job includes traveling overseas, on occasion for short periods, to participate in conferences, visits of suppliers or partners, training, etc.<br>Responsibilities:Main responsibilities include:Design and develop mechanical/ opto-mechanical systems and components. Design tools and fixtures supporting assembly, alignment and test of complex and precision optical systems. Perform numerical simulations with FEA tools to validate designs of mechanical, optical, and opto-mechanical systems, focusing on heat transfer, stress, strain, and vibration analyses. Conduct tolerance analysis of mechanical, optical, and opto-mechanical structures. Optimize designs according to Geometric Dimensioning and Tolerancing (GD&T) standards to prepare for manufacturing, integration, and alignment stages. Integrate mechanical components and execute systems/sub-systems functional/ validation tests. Create detailed documentation that includes design specifications, engineering drawings, and system schematics. Document the outcomes of testing phases, such as prototype, functional, and compliance tests. Contribute to research papers, case studies, and industry publications, especially when involved in cutting-edge technologies or innovative mechanical engineering solutions. Write comprehensive reports on analyses conducted, such as stress tests, thermal analysis, and fluid dynamics studies. Work collaboratively with project and department team members. Support the optical and system engineering teams with opto-mechanical system design Participate in multidisciplinary discussions within the activity domain of DERC. Coach and mentor junior engineers in the design and development of opto-mechanical systems.<br>Requirements Proficiency in 3D Modeling design, simulation and Manufacturing. Experience with 3D Modeling tools such as CATIA, Creo, NX CAD, Solid Works, Fusion360, etc. Experience with FEA/CFD simulation tools such as ANSYS, or COMSOL Multiphysics. Ability to conduct heat transfer, stress, strain, vibration, and shock analyses as per industry standards. Expertise in GD&T analysis for system assemblies. Strong grasp of thermodynamics principles, along with the capability to perform heat transfer analysis—including conduction, convection, and radiation—to design heat sinks, radiators, and thermal insulation systems. Substantial experience with the integration and interfacing of optical and mechanical systems. Familiarity with the opto-mechanical aspects of laser systems Familiarity with optical design principles, ray tracing, and optical design tools Ability to analyze problems, think critically, and develop effective design optimization. Being adaptable and committed to continuous learning to stay updated on industry trends and advancements. Ability to think outside the box and propose novel ideas contributes to the development of cutting-edge products. Ability to work as part of a multicultural research team with effective oral and written communication skills. Self-motivated and self-directed<br>Qualifications To qualify for this position, you will need to meet the following requirements:<br>Bachelor’s /master's degree in mechanical engineering, or related fields. At least 5 years of working experience in an R&D department or industry or similar environment, with a focus on opto-mechanics Good level of English (speaking and writing).

Role - QA / QC Civil Engineer Location - Abudhabi Qualification - Bachelor's Degree in Civill Engineering Salary - 12 K AED<br>Must have experience in substation 33/11 kv with 8-10 years experience.

Role: Go Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients to build the next generation of dialog agents with wide-ranging applications in education, entertainment, and question-answering systems. The role involves close collaboration with cross-functional teams to define, design, and deliver new features.<br>Key Responsibilities:• Review AI-generated code and solutions to ensure adherence to quality standards and development best practices• Organize development cycles, set priorities, and define project goals and deadlines• Resolve complex coding issues using Go expertise during AI validation and system integration• Verify accuracy, efficiency, and dependability of AI-generated code through validation processes• Analyze code, provide constructive feedback, and foster a collaborative environment that encourages innovation and continuous improvement<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in engineering, computer science, or equivalent experience• At least 3+ years of relevant software engineering experience, with a proven ability to lead teams• In-depth knowledge of Go programming language and software development best practices• Experience with AI systems and code-creation technologies, including LLM model training• Proactive contribution to public Git Hub repositories, including feature development and code refactoring for large codebases<br>More About the Opportunity:This role offers a unique opportunity to contribute to cutting-edge AI technology that powers open-ended, collaborative dialogues. The company is building scalable backend components to support high-quality LLM training and deployment across diverse frameworks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Software Engineer based in United Arab Emirates.<br><br>Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that power enterprise-grade applications. In this role, you'll design and develop high-performance backend services, solve complex distributed systems challenges, and help shape the architecture of innovative products from the ground up. Working closely with cross-functional teams, you'll have the opportunity to influence technical decisions, lead key initiatives, and contribute to reliable, secure, and highly scalable solutions. This position is ideal for an experienced backend engineer who thrives in startup environments, enjoys ownership, and is passionate about building impactful technology using modern cloud infrastructure.<br><br>Accountabilities<br><br>Design, build, and maintain scalable cloud-native backend services using Golang within a modern microservices architecture. Develop and operate distributed systems deployed on Kubernetes across major cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. Lead the architecture, design, and implementation of new product features and backend services from concept through production. Apply strong computer science fundamentals to solve complex problems related to distributed systems, scalability, networking, concurrency, and performance. Build secure integrations with enterprise identity and authentication systems, including SSO and Identity Providers such as Okta. Collaborate with product, engineering, and infrastructure teams to define technical solutions and deliver high-quality software. Contribute across different layers of the technology stack when needed, particularly where backend services interact with infrastructure components. Drive technical excellence by promoting best practices in system reliability, observability, and maintainability.<br><br>Requirements<br><br>5+ years of professional experience designing, developing, and maintaining highly scalable backend systems and cloud-based microservices. Strong proficiency in Golang and experience working with multiple programming languages. Solid understanding of computer science fundamentals, including algorithms, data structures, operating systems, networking, concurrent programming, and distributed systems. Hands-on experience deploying and managing applications in Kubernetes environments on AWS, Google Cloud Platform, or Microsoft Azure. Experience building enterprise-grade applications with knowledge of authentication and identity management solutions such as Okta or other SSO/IdP platforms. Comfortable working across the technology stack with a primary focus on backend engineering. Proven ability to lead technical projects, influence architectural decisions, and deliver scalable production systems. Strong problem-solving abilities with the flexibility to navigate ambiguity in a fast-growing startup environment. Excellent communication and collaboration skills, with experience working effectively in fully remote teams.<br><br>Benefits<br><br>Fully remote work environment with flexible working hours. Competitive salary and early-stage equity opportunity. Comprehensive health, dental, and vision insurance. Home office stipend to support your remote workspace. Flexible paid time off policy. High level of autonomy, ownership, and influence over technical decisions. Opportunity to work on innovative AI-powered products with significant real-world impact. Collaborative, transparent, and mission-driven engineering culture.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role - QA / QC Civil Engineer Location - Abudhabi Qualification - Bachelor's Degree in Civill Engineering Salary - 12 K AED<br>Must have experience in substation 33/11 kv with 8-10 years experience.

Role: Go Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients to build the next generation of dialog agents with wide-ranging applications in education, entertainment, and question-answering systems. The role involves close collaboration with cross-functional teams to define, design, and deliver new features.<br>Key Responsibilities:• Review AI-generated code and solutions to ensure adherence to quality standards and development best practices• Organize development cycles, set priorities, and define project goals and deadlines• Resolve complex coding issues using Go expertise during AI validation and system integration• Verify accuracy, efficiency, and dependability of AI-generated code through validation processes• Analyze code, provide constructive feedback, and foster a collaborative environment that encourages innovation and continuous improvement<br>Required Skills & Qualifications:• Bachelor’s or master’s degree in engineering, computer science, or equivalent experience• At least 3+ years of relevant software engineering experience, with a proven ability to lead teams• In-depth knowledge of Go programming language and software development best practices• Experience with AI systems and code-creation technologies, including LLM model training• Proactive contribution to public Git Hub repositories, including feature development and code refactoring for large codebases<br>More About the Opportunity:This role offers a unique opportunity to contribute to cutting-edge AI technology that powers open-ended, collaborative dialogues. The company is building scalable backend components to support high-quality LLM training and deployment across diverse frameworks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Software Engineer based in United Arab Emirates.<br><br>Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that power enterprise-grade applications. In this role, you'll design and develop high-performance backend services, solve complex distributed systems challenges, and help shape the architecture of innovative products from the ground up. Working closely with cross-functional teams, you'll have the opportunity to influence technical decisions, lead key initiatives, and contribute to reliable, secure, and highly scalable solutions. This position is ideal for an experienced backend engineer who thrives in startup environments, enjoys ownership, and is passionate about building impactful technology using modern cloud infrastructure.<br><br>Accountabilities<br><br>Design, build, and maintain scalable cloud-native backend services using Golang within a modern microservices architecture. Develop and operate distributed systems deployed on Kubernetes across major cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. Lead the architecture, design, and implementation of new product features and backend services from concept through production. Apply strong computer science fundamentals to solve complex problems related to distributed systems, scalability, networking, concurrency, and performance. Build secure integrations with enterprise identity and authentication systems, including SSO and Identity Providers such as Okta. Collaborate with product, engineering, and infrastructure teams to define technical solutions and deliver high-quality software. Contribute across different layers of the technology stack when needed, particularly where backend services interact with infrastructure components. Drive technical excellence by promoting best practices in system reliability, observability, and maintainability.<br><br>Requirements<br><br>5+ years of professional experience designing, developing, and maintaining highly scalable backend systems and cloud-based microservices. Strong proficiency in Golang and experience working with multiple programming languages. Solid understanding of computer science fundamentals, including algorithms, data structures, operating systems, networking, concurrent programming, and distributed systems. Hands-on experience deploying and managing applications in Kubernetes environments on AWS, Google Cloud Platform, or Microsoft Azure. Experience building enterprise-grade applications with knowledge of authentication and identity management solutions such as Okta or other SSO/IdP platforms. Comfortable working across the technology stack with a primary focus on backend engineering. Proven ability to lead technical projects, influence architectural decisions, and deliver scalable production systems. Strong problem-solving abilities with the flexibility to navigate ambiguity in a fast-growing startup environment. Excellent communication and collaboration skills, with experience working effectively in fully remote teams.<br><br>Benefits<br><br>Fully remote work environment with flexible working hours. Competitive salary and early-stage equity opportunity. Comprehensive health, dental, and vision insurance. Home office stipend to support your remote workspace. Flexible paid time off policy. High level of autonomy, ownership, and influence over technical decisions. Opportunity to work on innovative AI-powered products with significant real-world impact. Collaborative, transparent, and mission-driven engineering culture.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role: Staff Engineer - Ruby (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Staff Ruby Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable Ruby-based systems. The engineer will work closely with cross-functional teams to deliver high-quality software solutions.<br>Key Responsibilities:• Develop and maintain Ruby on Rails applications and microservices.• Optimize application performance and scalability.• Collaborate with product and engineering teams to define technical requirements.• Write clean, maintainable, and well-tested Ruby code.• Debug and resolve complex technical issues in production systems.<br>Required Skills & Qualifications:• Proficiency in Ruby and Ruby on Rails.• Experience with RESTful APIs and JSON-based services.• Strong knowledge of database design and SQL optimization.• Familiarity with testing frameworks like RSpec or Minitest.• Experience with cloud platforms such as AWS or similar.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of mission-critical applications. The contract duration is flexible, with the potential for long-term engagement based on performance and project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Company<br><br>Qualcomm Engineering FZ LLC<br><br>Job Area<br><br>Engineering Group, Engineering Group > Systems Engineering<br><br>General Summary<br><br>About Qualcomm IE‑IoT<br><br>Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The Industrial & Embedded IoT (IE‑IoT) business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.<br><br>About The Role<br><br>The Staff / Senior Staff IoT Solutions Engineer is a senior, hands‑on technical role responsible for architecting, developing, and delivering IoT and Edge AI solutions built on Qualcomm platforms. This role operates at the intersection of solution engineering, customer engagement, product collaboration, and ecosystem integration, supporting repeatable solution patterns that accelerate customer adoption across multiple verticals.<br><br>The role combines customer-facing technical leadership with hands‑on prototyping and system validation, serving as a trusted technical contributor and advisor for strategic customers and regional solution engagements.<br><br>Key Responsibilities Will Include<br><br>Solution Architecture & Technical Execution<br><br>Contribute to and implement IoT and Edge AI solution blueprints for priority verticals. Architect and deliver end‑to‑end solutions spanning on‑device AI, gateways, edge servers, connectivity, and hybrid cloud integration. Develop reference architectures, design guides, and deployment playbooks in collaboration with internal teams. Ensure solutions meet production requirements for performance, latency, power, thermals, security, and scalability.<br><br><br>Customer & Partner Engagement<br><br>Act as a technical lead for customer engagements, supporting projects from discovery through PoC, pilot, and early production. Translate customer business use cases and KPIs into practical, system‑level technical designs. Support customer architecture reviews and technical roadmap discussions. Collaborate with OEMs, ISVs, system integrators, and cloud partners to validate end‑to‑end solutions. Support regional PoCs, pilots, and commercial solution launches.<br><br><br>Hands‑On Prototyping & Validation<br><br>Lead and execute system bring‑up, prototyping, benchmarking, and validation on Qualcomm platforms. Integrate workloads such as:Computer vision and video analytics AI/ML inference (CNNs, multimodal models, selected Gen AI inference workloads) IoT gateway applications and industrial data pipelines<br>Profile and optimize solutions across latency, throughput, accuracy, power, thermal behavior, and cost.<br><br>Hybrid Edge AI Architecture<br><br>Design and implement distributed AI architectures across on‑device, on‑prem edge, and cloud environments. Enable offline/online operation, secure connectivity, observability, and fleet/device management patterns. Support enterprise integration requirements including data security and operational monitoring.<br><br><br>Cross‑Functional Collaboration<br><br>Partner closely with Product Management, Platform HW/SW teams, Performance teams, and Customer Engineering. Provide feedback from customer deployments to help improve platform features, SDKs, and solution readiness. Represent Qualcomm in customer workshops, technical reviews, and selected industry events.<br><br><br>Technical profile that we are looking for<br><br>Required<br><br>Strong system‑level understanding of IoT, embedded systems, and Edge AI deployments. Hands‑on software experience in Python and/or C/C++. Experience with Embedded Linux and modern application packaging (e.g., containers). Familiarity with AI frameworks and runtimes such as PyTorch, Tensor Flow, ONNX, and deployment‑oriented inference workflows. Background in computer vision, video analytics, or edge AI inference. Working knowledge of connectivity technologies including Ethernet, Wi‑Fi, Bluetooth, LTE/5G. Experience with multimedia frameworks (Android, Linux, Tizen, any other OS). Gstreamer experience a plus.<br><br><br>Preferred<br><br>Experience delivering customer‑facing IoT or Edge AI solutions that moved beyond PoC to pilot or production. Exposure to one or more verticals such as industrial automation, smart cities, public sector, energy, logistics, or retail. Experience working with hybrid edge/cloud architectures. Comfortable communicating technical concepts to architect‑, engineering‑, and director‑level audiences.<br><br><br>What's On Offer<br><br>Apart from working with great people, we offer the below:<br><br>Salary including housing & transport allowance Stock (RSU's) and performance related bonus16 weeks fully paid Maternity Leave6 weeks fully paid Paternity Leave Employee stock purchase scheme Child Education Allowance Relocation and immigration support (if needed) Life and Medical Insurance Live+ Well Reimbursement for health and recreational membership fees<br><br><br>Minimum Qualifications<br><br> Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.<br><br><br>OR<br><br>Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.<br><br>OR<br><br>PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.<br><br>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.<br><br><br>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).<br><br>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.<br><br>To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.<br><br>If you would like more information about this role, please contact Qualcomm Careers.