Senior Deep Learning Compiler Engineer - Equity Eligible

NVIDIA; Austin (TX); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA is seeking a developer in Austin, Texas to analyze deep learning networks and develop compiler optimization algorithms. The ideal candidate will have a Bachelor's, Master's, or Ph.D. in Computer Science or a related field, along with at least 3 years of relevant experience. Strong skills in C/C++ and Python are necessary, along with the ability to work independently in a dynamic team. NVIDIA offers competitive salaries in the range of $152,000 - $241,500, along with equity and benefits. Applications are accepted until May 4, 2026.

Qualifications

• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Ability to work independently and lead development efforts.
• Experience with deep learning frameworks and models.

Responsibilities

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with deep learning software and hardware architecture teams.
• Define public APIs and perform performance optimizations.

Skills

C/C++ programming

Python programming

Performance analysis

Compiler optimizations

Interpersonal skills

Education

Bachelor's, Master's or Ph.D. in Computer Science or related field

Tools

CUDA

OpenCL

PyTorch

LLVM

Job description

NVIDIA is seeking a developer in Austin, Texas to analyze deep learning networks and develop compiler optimization algorithms. The ideal candidate will have a Bachelor's, Master's, or Ph.D. in Computer Science or a related field, along with at least 3 years of relevant experience. Strong skills in C/C++ and Python are necessary, along with the ability to work independently in a dynamic team. NVIDIA offers competitive salaries in the range of $152,000 - $241,500, along with equity and benefits. Applications are accepted until May 4, 2026.