Remote CUDA Engineer for High-Performance GPU & AI

Bright Vision Technologies; United States; Remote; USD 85,000 - 110,000; Full time

Job summary

Bright Vision Technologies is seeking a CUDA Developer for a fully remote position across the United States. You will design and optimize GPU workloads, implementing high-performance kernels and collaborating with ML engineers to push AI training and inference efficiency.

The ideal candidate has 6+ years in GPU programming, strong C++ skills, and experience with CUDA toolchains, profiling, and production-grade optimization. Join a team delivering scalable accelerator solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 6+ years of experience in GPU programming and performance engineering.
• Deep expertise in CUDA C/C++ and GPU programming models.
• Strong understanding of modern GPU architectures, memory hierarchies, and execution models.
• Hands-on experience profiling and optimizing GPU workloads in production.

Responsibilities

• Design and optimize compute-intensive workloads on modern accelerator hardware.
• Extract maximum performance from GPU platforms for AI training and inference workloads.
• Contribute to code reviews, design reviews, and mentorship of junior engineers.

Skills

CUDA programming

GPU performance

C++

Profiling

MPI/NCCL

Kernel integration

Education

Bachelor's or Master's in CS/CE

Tools

CUDA toolkit

CUTLASS

TensorRT

LLVM/MLIR

NCCL/MPI

Job description

Bright Vision Technologies is seeking a CUDA Developer for a fully remote position across the United States. You will design and optimize GPU workloads, implementing high-performance kernels and collaborating with ML engineers to push AI training and inference efficiency.

The ideal candidate has 6+ years in GPU programming, strong C++ skills, and experience with CUDA toolchains, profiling, and production-grade optimization. Join a team delivering scalable accelerator solutions.