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You are influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
Job Responsibility:
Research, prototype, benchmark different ML algorithms from conceptual phase to deployment on GPU
Research, prototype different quantization techniques for the graphics ML algorithms
Optimize existing ML algorithms with techniques such as quantization
Work across research, hardware, driver and compiler teams to analyze and troubleshoot performance issues, provide solutions to improve rendering speed and ML workload efficiency
Stay current with latest advancements in GPU hardware, rendering techniques, graphics APIs and GPU accelerated ML
Document and share knowledge on best practices for GPU programming (both graphics and compute/ML) within the team
Participate in code reviews and provide constructive feedback to peers
Requirements:
Understanding Machine Learning techniques and its application within graphics
ML model development and optimization such as quantization
Strong ML development pipeline experience in production environment
Strong python/porch development experiences from concept to production
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus