Senior GPU Compiler Engineer for AI Inference

NVIDIA Corporation; California; On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. You will design and implement GPU code generation and compiler optimizations, collaborating with architects and engineers to deliver optimized inference across models and hardware.

Ideal candidates have strong C++ proficiency, experience with GPU architectures, and a track record of performance improvements in production systems. Equity and benefits accompany the role.

Qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 4+ years of relevant software development experience, including contributions to a substantial codebase or project.
• Strong proficiency in C++ and experience building performance-critical software.
• Understanding of GPU architecture and parallel programming concepts, including memory hierarchies, thread execution, synchronization, and resource utilization.
• A rigorous approach to performance analysis and debugging, with the ability to validate numerical correctness and explain performance tradeoffs.
• Strong problem-solving and communication skills, and the ability to work independently and collaborate across teams.

Responsibilities

• Design and implement efficient GPU code generation techniques in TensorRT that balance generated code performance, compilation overhead, and startup latency.
• Develop compiler optimizations, including operator fusion, dynamic scheduling, and specialization for model shapes, data types, and GPU architectures.
• Profile workloads and analyze generated GPU code to identify bottlenecks and guide compiler and runtime improvements.
• Develop robust, maintainable software in C++, and Python for tooling, testing, and performance analysis.
• Collaborate with GPU architects, kernel developers, compiler engineers, and deep learning experts to guide hardware and software design.

Skills

C++

Python

GPU architecture

Parallel programming

Performance analysis

Communication

Education

BS/MS/PhD in CS/CE or related

Tools

CUDA

Triton

MLIR

Nsight

CUTLASS

CuTe DSL

Job description

NVIDIA Corporation seeks talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. You will design and implement GPU code generation and compiler optimizations, collaborating with architects and engineers to deliver optimized inference across models and hardware.

Ideal candidates have strong C++ proficiency, experience with GPU architectures, and a track record of performance improvements in production systems. Equity and benefits accompany the role.