Ai Solutions Engineer

**Company**: Qualcomm Middle East Information Technology Company LLC **Job Area**: Engineering Group, Engineering Group > Systems Engineering **General Summary**: **About Us** As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. **About the Role** As a Qualcomm Datacentre AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacentre technology. Shape **Principal Duties and Responsibilities will include**: - Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability - Contribute towards implementing fine tuning and distillation techniques - Perform AI model benchmarking and functional analysis to drive requirements and specifications - Support customer engagement with AI model/workload optimization and deployment - Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system - Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems - Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions. - Develops new and innovative ideas for a product or feature area - Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. **Preferred Qualifications & Skills**: - Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field - Proficiency in Python and ML frameworks, APIs, REST, microservices - Working experience with AI systems - Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings - Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, distributed systems, event-driven architectures, fault-tolerant design principles - Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus - Problem solving experience and customer focused - Experience with cluster schedulers (Slurm, PBS), orchestrators, workload managers for resource allocation is a plus - Experience with observability tools for ML pipelines - Experience working in a large matrixed organization - Experience with fine-tuning GenAI models and Reinforcement Learning is a plus - Well versed with open-source development practices - Experience with rack-level orchestration tools and data center automation is a plus **What's on Offer** Apart from working with great people, we offer the below: - Salary including housing & transport allowance - Stock (RSU's) and performance related bonus - 16 weeks fully paid Maternity Leave - 6 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 **Minimum Qualifications**: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 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. If you would like more information about this role, please contact Qualcomm Careers.