Remote CUDA GPU Software Engineer - HPC & AI Compute

Bright Vision Technologies; United States; Remote; USD 80,000 - 107,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to push the limits of compute on modern accelerators. This remote, full-time role focuses on delivering high-performance CUDA code for AI training, inference, and HPC workloads.

You will work with cross-functional teams to translate complex requirements into robust, production-grade software, mentor junior engineers, and continuously optimize kernels and memory usage to maximize throughput and efficiency in distributed

Qualifications

• Six+ years of GPU programming and performance engineering experience.
• Deep expertise in CUDA C/C++ and GPU programming models.
• Strong understanding of modern GPU architectures and memory hierarchies.
• Hands-on experience profiling and optimizing GPU workloads in production.
• Strong C++ skills and modern systems programming.
• Excellent communication and collaboration with research and engineering teams.

Responsibilities

• Design and optimize compute-intensive workloads on modern accelerator hardware.
• Extract maximum performance from GPU platforms for AI training, inference, HPC workloads.
• Lead kernel integration and performance improvements in production environments.
• Collaborate with product, design, and operations to translate requirements into robust software solutions.
• Mentor junior engineers and conduct design/code reviews to raise engineering standards.

Skills

GPU programming & performance

CUDA C/C++

GPU architectures

Profiling & optimization

Interconnect technologies (NCCL, MPI)

C++ systems programming

Numerical methods

Communication & collaboration

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

NCCL

MPI

Triton

CUTLASS

TensorRT

Job description

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to push the limits of compute on modern accelerators. This remote, full-time role focuses on delivering high-performance CUDA code for AI training, inference, and HPC workloads.

You will work with cross-functional teams to translate complex requirements into robust, production-grade software, mentor junior engineers, and continuously optimize kernels and memory usage to maximize throughput and efficiency in distributed