Staff Machine Learning Systems, Compiler & Performance Engineer

Qualcomm • San Diego, CA

2d

About The Position

As a member of Qualcomm’s ML Systems Team, you will participate in two activities:
Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings
Development and evolution of ML/AI compilers, systems and algorithms for efficient mappings of ML/AI algorithms on existing and future HW

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Nice To Haves

• 10 years’ experience in Software Architecture and/or Compilers and/or Performance Modeling
• Demonstrated ability to learn, think and adapt in fast changing environment
• Ability to lead teams through problem understanding, solution ideation, implementation and iteration
• Detail-oriented with strong problem-solving, analytical and debugging skills
• Strong communication skills (written and verbal)
• Strong background in algorithm development and performance analysis is essential
• The following experiences would be significant assets
• Strong object-oriented design principles
• Strong knowledge of C++
• Strong knowledge of Python
• Experience in compiler design and development
• Knowledge of network model formats/platforms (eg. Pytorch, Tensorflow, ONNX) is an asset.
• On-silicon debug skills of high-performance compute algorithms
• Knowledge of algorithms and data structures
• Knowledge of software development processes (revision control, CD/CI, etc.)
• Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
• Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators

Responsibilities

• Contributing to the development and evolution of ML/AI systems and compilers within Qualcomm
• Defining and implementing algorithms for mapping ML/AI workloads to Qualcomm HW
• Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
• Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
• Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
• Pre-Silicon prediction of performance for various ML algorithms
• Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle compute and system memory-related bottlenecks
• Manage several teams responsible for the tasks listed above
• Successful applications will work in cross-site, cross-functional teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree