Senior CUDA GPU Software Engineer - Remote

Bright Vision Technologies; Glastonbury (CT); Remote; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to design and optimize CUDA kernels for AI and HPC workloads. You will work to extract maximum performance from modern GPUs, delivering optimized kernels and libraries for linear algebra and ML primitives.

This is a remote, full-time role with strong collaboration across product and engineering teams. The ideal candidate has 6+ years in GPU programming, deep CUDA expertise, and a track record of production-level performance

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.
• Hands-on experience profiling and optimizing GPU workloads in production.

Responsibilities

• Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases.
• Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers.
• Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance.
• Develop highly optimized libraries for linear algebra, attention, and other ML primitives.
• Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking.
• Implement custom operators and fused kernels in PyTorch, JAX, or Triton.
• Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines.
• Develop benchmarks and regression tests to safeguard performance over time.
• Evaluate new GPU architectures and feature sets, and advise on adoption strategy.
• Contribute to compiler-level optimizations for tensor programs where appropriate.
• Optimize memory hierarchy usage across HBM, L2, shared memory, and registers.
• Implement mixed-precision and quantized compute paths that maximize throughput.
• Document performance characteristics and tuning playbooks for internal teams.
• Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies.

Skills

CUDA C/C++

GPU programming

Performance profiling

C++

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

NCCL

MPI

CUDA profilers

Nsight tools

Job description

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to design and optimize CUDA kernels for AI and HPC workloads. You will work to extract maximum performance from modern GPUs, delivering optimized kernels and libraries for linear algebra and ML primitives.

This is a remote, full-time role with strong collaboration across product and engineering teams. The ideal candidate has 6+ years in GPU programming, deep CUDA expertise, and a track record of production-level performance