Remote CUDA Engineer — High-Performance GPU & AI

Bazeta; United States; Remote; USD 85,000 - 110,000; Full time

Job summary

Bright Vision Technologies is seeking a CUDA Developer for 100% remote work in the United States. You will design and optimize compute-intensive workloads on modern GPU hardware for AI training, inference, and HPC, with a focus on performance gains and scalable solutions.

Candidates should have 6+ years of GPU programming experience, strong CUDA C/C++, and collaboration skills to work with product, engineering, and operations teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Six or more 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.

Responsibilities

• Design and optimize compute-intensive workloads on modern accelerator hardware.
• Collaborate with cross-functional teams to translate ambiguous requirements into engineered solutions.
• Raise the bar through code reviews and design reviews; mentor junior engineers.
• Deliver measurable performance improvements on production GPU systems.

Skills

CUDA C/C++

GPU programming

Performance engineering

C++ programming

Collaboration

Education

Bachelor’s or Master’s in CS/CE or related field

Tools

NCCL

MPI

Triton

CUTLASS

TensorRT

LLVM/MLIR

Job description

Bright Vision Technologies is seeking a CUDA Developer for 100% remote work in the United States. You will design and optimize compute-intensive workloads on modern GPU hardware for AI training, inference, and HPC, with a focus on performance gains and scalable solutions.

Candidates should have 6+ years of GPU programming experience, strong CUDA C/C++, and collaboration skills to work with product, engineering, and operations teams.