Senior DL Compiler Engineer — Fast Inference, Equity

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Deep Learning Compiler Engineer to advance compiler technology for AI inference across data centers, devices, and robotics. You will analyze networks and implement optimization techniques to improve throughput and reduce latency.

You will collaborate with DL framework and hardware teams, define APIs, and contribute to the DLC platform's evolution, applying cutting-edge compiler methods and MLIR/XLA-based approaches.

Qualifications

• Bachelor’s/Master’s/PhD in CS/CE or equivalent experience.
• 3+ years in performance analysis and compiler optimizations.
• Ability to work independently and lead projects.
• Strong C/C++ and Python programming with debugging and testing.
• Strong interpersonal skills for a dynamic team.

Responsibilities

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with DL software framework and hardware architecture teams to accelerate next-gen DL software.
• Define public APIs, performance optimizations, and compiler infrastructure techniques for neural networks.

Skills

C/C++

Python

Performance analysis

Compiler optimization

Team collaboration

Education

Bachelors degree in Computer Science or related field

Masters or PhD in related field

Tools

MLIR

XLA

TVM

LLVM

PyTorch

CUDA

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Deep Learning Compiler Engineer to advance compiler technology for AI inference across data centers, devices, and robotics. You will analyze networks and implement optimization techniques to improve throughput and reduce latency.

You will collaborate with DL framework and hardware teams, define APIs, and contribute to the DLC platform's evolution, applying cutting-edge compiler methods and MLIR/XLA-based approaches.