Remote CUDA GPU Engineer — HPC & AI

Bright Vision Technologies; Edison (NJ); Remote; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies seeks a GPU Software Engineer (CUDA) to design and optimize compute-intensive workloads on modern accelerator hardware. You will push performance for AI training and HPC, sharing results with cross-functional teams and mentoring junior engineers.

The role emphasizes low-level systems mastery, clean software practices, and delivering measurable production improvements. This is a fully remote opportunity within the U.S.

Qualifications

• We require a strong background in CUDA C/C++ and GPU programming.
• Experience profiling and optimizing GPU workloads in production.
• Solid knowledge of memory hierarchies and modern GPU architectures.

Responsibilities

• Design and implement high-performance CUDA kernels for AI and HPC workloads.
• Profile and optimize GPU code using Nsight Systems/Compute and CUDA profilers.
• Tune memory patterns, occupancy, and shared memory for peak performance.
• Develop optimized libraries for linear algebra and ML primitives.
• Collaborate with ML engineers to identify performance bottlenecks.
• Document performance characteristics and tuning playbooks.

Skills

CUDA C/C++

GPU programming

Performance profiling

MPI/NCCL

C++ systems programming

Education

Bachelor’s or Master’s in CS/CE

Tools

Nsight Systems

Nsight Compute

NCCL

MPI

RDMA

PyTorch

JAX

Triton

Job description

Bright Vision Technologies seeks a GPU Software Engineer (CUDA) to design and optimize compute-intensive workloads on modern accelerator hardware. You will push performance for AI training and HPC, sharing results with cross-functional teams and mentoring junior engineers.

The role emphasizes low-level systems mastery, clean software practices, and delivering measurable production improvements. This is a fully remote opportunity within the U.S.