Remote CUDA GPU Software Engineer – HPC Performance

Bright Vision Technologies; Framingham (MA); On-site; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer with deep CUDA expertise to design and optimize compute-intensive workloads on modern accelerator hardware. The role focuses on AI training, inference, and HPC workloads, delivering high-performance CUDA kernels, memory optimizations, and cross-functional collaboration with product, design, and engineering teams.

Remote work allowed with direct W2 employment.

Qualifications

• Six+ years of GPU programming and performance engineering.
• Deep expertise in CUDA C/C++ and GPU architectures.
• Experience profiling/optimizing GPU workloads in production.

Responsibilities

• Design and implement high-performance CUDA kernels for AI and HPC workloads.
• Profile and optimize GPU code with Nsight tools and profilers.
• Develop optimized libraries for ML primitives and multi-GPU training support.
• Collaborate with ML engineers to identify performance bottlenecks.

Skills

CUDA programming

GPU performance

C++ programming

Profiling

Education

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

Tools

Nsight Systems

Nsight Compute

CUDA profilers

NCCL

Job description

Bright Vision Technologies is seeking a GPU Software Engineer with deep CUDA expertise to design and optimize compute-intensive workloads on modern accelerator hardware. The role focuses on AI training, inference, and HPC workloads, delivering high-performance CUDA kernels, memory optimizations, and cross-functional collaboration with product, design, and engineering teams.

Remote work allowed with direct W2 employment.