Bachelor's degree in Computer Science, Engineering, or related field with 4+ years of relevant experience.
Demonstrated adaptability in fast-changing environments.
Detail-oriented with strong problem-solving and analytical skills.
Strong communication skills, both written and verbal.
Background in algorithm development and performance analysis.
Responsibilities
Contribute to the development of ML/AI compilers.
Define and implement algorithms for mapping ML/AI workloads to Qualcomm hardware.
Analyze trends in ML network design through customer engagements and academic research.
Create performance-driven simulation components using C++ and Python.
Explore performance/area/power trade-offs for future ML algorithms.
Predict pre-silicon performance for various ML algorithms.
Run, debug, and analyze performance simulations to enhance hardware and software.
Benefits
Remote work flexibility.
Opportunity to work with a global leader in the semiconductor industry.
Engagement in cutting-edge AI/ML R&D projects.
Collaborative team environment focused on innovation.
Full Job Description
Senior Staff Compiler Engineer Canada - Remote
We are partnered with a global leader in the semiconductor industry, assisting in the search for a Senior-Staff level compiler optimization engineer to join their growing AI/ML R&D team.
Job Purpose & Responsibilities
As a member of the ML Systems Team, you will participate in two activities:
Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm's ML HW/SW offerings
Key Responsibilities:
Contributing to the development and evolution of ML/AI compilers
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 hardware and software to tackle compute and system memory-related bottlenecks
Minimum Qualifications: • 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. Requirements:
Demonstrated ability to learn, think and adapt in fast-changing environments
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
How to Apply? All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to [redacted]. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.
