We are now looking for an Engineering Manager to lead the Deep Learning Performance Architect Team.
Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence. As deep learning models are becoming more versatile, how to architecture the high-performance deep learning computing system becomes essential. Join the team to build the deep learning computing system that will boost the entire deep learning community.
What you'll be doing:
In this role, you will be managing a team of experienced deep learning performance architects to analyze deep learning networks and push the evolution of our deep learning computing system in hardware/software co-design approach. You will establish team objectives to meet schedules and goals, establish and evolve policies and procedures that affect the immediate organization, communicate with senior management for team vision and development. You’ll collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning computing system. The scope of your team's efforts includes deep learning workloads characterization, performance tuning and analysis, optimizing the present generation of our software tech stack and drive the evolution of the next generation of deep learning hardware and software architecture, and other general engineering management work.
What we need to see:
- Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)
- A software engineer with 10+ years of overall experience with at least 6+ of those years with hands on management
- Strong software design fundamentals and a deep understanding of deep learning optimization.
- Knowledge of software engineering principles
Ways to stand out from the crowd:
- Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience
- Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design.
- Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.
- Track record of identifying new technologies and incorporating them into software development flows.
- Excellent understanding of linear algebra and calculus.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.