Senior Deep Learning Compiler Engineer | AI Performance

NVIDIA

United States

On-site

USD 152,000 - 241,500

Full time

14 days+

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Job summary

NVIDIA is looking for a talented engineer with expertise in deep learning and compiler optimizations. The role involves analyzing deep learning networks and collaborating with software and hardware teams to innovate next-generation technology. Candidates should have a degree in Computer Science or Engineering and at least 3 years of relevant experience. Strong skills in C/C++ and Python programming are essential. NVIDIA offers competitive salaries, equity, and benefits, contributing to an exciting work environment that values diversity.

Qualifications

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
  • Ability to work independently, define project goals and scope, and lead your own development efforts.
  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Responsibilities

  • Analyzing deep learning networks and developing compiler optimization algorithms.
  • Collaborating with members of the deep learning software and hardware architecture teams.
  • Defining public APIs and implementing compiler infrastructure techniques for neural networks.

Skills

C/C++ programming
Python programming
Software design skills
Performance analysis
Compiler optimizations

Education

Bachelors, Masters or Ph.D. in Computer Science or Computer Engineering

Tools

CUDA
OpenCL
MLIR
LLVM
PyTorch

Job description

NVIDIA is looking for a talented engineer with expertise in deep learning and compiler optimizations. The role involves analyzing deep learning networks and collaborating with software and hardware teams to innovate next-generation technology. Candidates should have a degree in Computer Science or Engineering and at least 3 years of relevant experience. Strong skills in C/C++ and Python programming are essential. NVIDIA offers competitive salaries, equity, and benefits, contributing to an exciting work environment that values diversity.
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