Senior AI Inference Compiler Engineer — Equity Eligible
NVIDIA
Austin (TX)
On-site
USD 152,000 - 241,500
Full time
14 days+
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Job summary
A leading tech company in Austin, Texas is seeking an AI & Deep Learning Compiler Engineer to join their Deep Learning & AI Compiler team. The role involves analyzing deep learning networks, developing optimization algorithms, and collaborating with software framework and GPU architecture teams. Candidates should have a degree in Computer Science or a related field with 3+ years of experience in compiler technologies. A strong background in C/C++ and Python is essential. The position offers a competitive salary range from $152,000 to $241,500, with equity and benefits.
Qualifications
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently and lead development efforts.
Strong interpersonal skills in a dynamic team.
Responsibilities
Analyze deep learning networks and develop compiler optimization algorithms.
Collaborate with deep learning software framework teams and GPU architecture teams.
Define public APIs, performance optimizations, and implement compiler techniques.
Skills
Compiler optimization algorithms
C/C++ programming
Python programming
Deep learning frameworks (PyTorch, JAX)
Performance analysis
Education
Bachelor’s, Master’s or Ph.D. in Computer Science or related field
Tools
MLIR
LLVM
XLA
Triton
Job description
A leading tech company in Austin, Texas is seeking an AI & Deep Learning Compiler Engineer to join their Deep Learning & AI Compiler team. The role involves analyzing deep learning networks, developing optimization algorithms, and collaborating with software framework and GPU architecture teams. Candidates should have a degree in Computer Science or a related field with 3+ years of experience in compiler technologies. A strong background in C/C++ and Python is essential. The position offers a competitive salary range from $152,000 to $241,500, with equity and benefits.