Remote CUDA GPU Software Engineer — HPC & ML Performance

Bright Vision Technologies

Rochester Hills (MI)

Remote

USD 80,000 - 107,000

Full time

9 days ago

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Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to design and optimize compute-intensive workloads on modern accelerator hardware for AI training, inference, and HPC. This role emphasizes low-level systems mastery, strong software engineering, and delivering measurable GPU performance improvements in production.

The ideal candidate has 7+ years of CUDA programming experience, strong C++ skills, and excels at cross-functional collaboration with product, design, and

Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
7+ years of experience in GPU programming and performance engineering.
Deep expertise in CUDA C/C++ and GPU programming models.
Experience optimizing compute-intensive workloads on GPU hardware.
Strong collaboration and communication with cross-functional teams.

Responsibilities

Design and optimize CUDA kernels for AI training and inference workloads.
Analyze and tune GPU performance on modern accelerators.
Collaborate with product, design, and engineering teams to implement high-performance features.
Mentor junior engineers and uphold code quality through reviews.

Skills

CUDA C/C++

GPU programming

Performance profiling

HPC

Communication

ML framework integration

Education

Bachelor's or Master's in CS/CE

Tools

NCCL

MPI

TensorRT

Triton

CUTLASS

LLVM/MLIR

Job description

The ideal candidate has 7+ years of CUDA programming experience, strong C++ skills, and excels at cross-functional collaboration with product, design, and

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