Associate Engineer

Job Overview:

The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.

Key Responsibilities

- Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.

- Analyze and identify system level issues, interface with the software development, integration, and test teams

- Lead high performing teams towards system design and deliverables.

- Proven track record of leading teams in Machine learning software engineering.

- Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.

- Improve and optimize key Deep Learning models on Qualcomm AI 100.

- Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.

- Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.

- Build software tools and ecosystem around AI SW Stack.

- Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.

- Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.

- Optimize the entire deep learning pipeline including graph compiler integration.

- Apply knowledge of software engineering best practices.

Desirable Skills and Aptitudes

- Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.