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Nvidia Manager, Compiler Engineering in Cambridge, United States

We are now seeking a SW Engineering Manager with strong leadership and mentoring skills to join our DPU Compilers Team. We craft outstanding compilers that realize the potential of NVIDIA's DPUs designed for the world's largest Data Centers: https://nvidia.com/en-us/networking/products/data-processing-unit/. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centers, on the cloud and at super computing centers around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! Our compiler organization makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organization?

What you'll be doing:

  • Lead a distributed team of compiler engineers to improve code generation for key Network and Virtualization applications accelerated by Bluefield DPU

  • 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 various Networking SW teams and the hardware architecture teams to accelerate the next generation of DPU software.

  • Insuring the scope of your team's efforts includes: helping drive performance tuning and analysis, crafting and implementing compiler and optimization techniques for workloads and other general software engineering work.

  • Planning, establishing team objectives to meet schedules and goals, establish and evolve policies and procedures that affect the immediate organization, connect with senior management for team vision and development.

  • Mentor and coach engineers, encouraging a consistently excellent line management experience for all the engineers in the team.

  • Craft the team culture and norms in accordance with NVIDIA's values, identify gaps in being a successful team and act on them. In addition improve development practices and collaboration within the team and with others outside the team.

What we need to see:

  • Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)

  • 8+ overall years of production software development in Compiler or related SW with focus on optimizations, improvements to language frontends or optimizing backends.

  • 3+ years of technical lead/management experience.

  • Strong software design fundamentals and a deep understanding of compilers and programming languages

Ways to stand out from the crowd:

  • Knowledge of Processor architecture such as RISCV, ARM

  • Experience with Embedded toolchain development

  • Experience with LLVM, Clang, GNU Toolchain or other compiler infrastructure.

  • Knowledge of compiler internals from front end to run-time environment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .

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