Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
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 framework, compute and system memory-related bottlenecks
Successful applicants will work in cross-site, cross-functional teams.
Requirements
Demonstrated ability to learn, think and adapt in fast changing environment
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, CPU, DSP and/or GPU design and development is an asset
Knowledge of network model formats/platforms (eg. PyTorch, ONNX) is a strong asset
Knowledge of software development processes (revision control, CD/CI, etc.)
Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
On-silicon debug skills of high-performance compute algorithms
Knowledge of algorithms and data structures
Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR
- PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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