Software Engineering Manager - Deep Learning Compilers

What you'll be doing: Manage a team of experienced compiler engineers to analyze deep learning networks and develop compiler optimizations. 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. Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. 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 9+ years of overall experience with at least 2+ of those years with hands on management Strong software design fundamentals and a deep understanding of compilers and programming languages 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 MLIR, XLA, MLIR, TVM, deep learning models and algorithms, and deep learning framework design. Knowledge of compiler internals With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. The base salary range is 216,000 USD - 414,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. #J-18808-Ljbffr NVIDIA