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NVIDIA

Designs the chips and software that power AI

Manager – Compiler Engineering - GPU

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)
  • 8+ years of production Compiler development experience with focus on compiler infrastructure, improvements to language frontends or optimizing backends
  • 3+ years of technical lead/management experience with proven track record of delivering high quality product in timely manner
  • Strong software design fundamentals and a deep understanding of compilers and programming languages

Responsibilities

  • Lead a distributed team of compiler engineers to build compiler for next generate GPU architectures.
  • Improve code generation for key applications accelerated by Nvidia GPU
  • 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 SW teams and the hardware architecture teams to accelerate the next generation of GPU 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.
  • 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.

Desired Qualifications

  • In depth knowledge of Processor architecture such as GPU, RISCV, ARM, x86
  • Experience with LLVM, Clang, GNU Toolchain or other compiler infrastructure.
  • Knowledge of compiler internals from front end to run-time environment
  • Experience with Embedded toolchain development

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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