Machine Learning Systems, Compiler & Performance Engineering Leader

Qualcomm • Annapolis, MD

8d

About The Position

Job Purpose & Responsibilities
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
Key Responsibilities include:
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.

Requirements

• 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
• Strong object-oriented design principles
• Strong knowledge of C++
• Strong knowledge of Python
• Experience in compiler design and development
• 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
• Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 8+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
• 2+ years of experience with high-performance microprocessor design.

Nice To Haves

• Knowledge of network model formats/platforms (eg. Pytorch, Tensorflow, ONNX) is an asset.
• On-silicon debug skills of high-performance compute algorithms

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees