Education: Bachelor's degree or related field
Experience: 6+ years
# ** This position is not eligible for Qualcomm immigration sponsorship. **
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.
As a Qualcomm Datacenter AI Systems Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field.
* 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
* Assist in the design, development, implementation and deployment of Gen AI and LLM applications
* Contribute towards implementing fine tuning and distillation techniques
* Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met
* Perform AI model benchmarking and functional analysis to drive requirements and specifications
* Propose deployment strategies 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.
* Strong proficiency in Python, and ML frameworks (PyTorch, TensorFlow).
* Deep understanding of ML development, deployment and applications.
* Deep understanding of system performance profiling and parallel computing.
* Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field
* Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings
* Working experience with fine-tuning GenAI models and Reinforcement Learning
* Background in compiler optimizations for ML workloads is a plus
* Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, and distributed systems
* Optimize inference performance across heterogenous nodes CPUs, GPUs, and specialized accelerators
* Experience in implementing caching, batching, and parallelization strategies for high-throughput systems.
* Proficiency with version control systems (Git) and code review tools (Gerrit, GitHub, GitLab) and collaborative development workflows
* Understanding of MLOps for AI application development and deployments is a plus
* Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus
* Experience with rack-level orchestration tools and data center automation is a plus
* Bachelor's degree in Engineering, Computer Science, Information systems or related field and 6+ years of related work experience.
* Master's degree in Engineering, Computer Science, Information systems or related field and 4+ year of related work experience.
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