Remote GPU Software Engineer (CUDA) - HPC & AI

Bright Vision Technologies; Novi (MI); On-site; USD 80,000 - 107,000; 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 deliver high-performance CUDA GPU software for AI training, inference, and data processing.

Ideal candidates bring deep CUDA/C++ expertise, strong system programming skills, and a track record of producing production-ready, high-performance GPU code. Collaboration with product, design, and engineering teams is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Six+ years of 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.
• Familiarity with NCCL, MPI, and high-performance interconnect technologies.
• Experience integrating custom kernels into ML frameworks.
• Strong C++ skills and familiarity with modern systems programming practices.
• Solid grounding in linear algebra and numerical methods.
• Strong communication and collaboration skills 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, and data processing.
• Collaborate with product, design, engineering, and operations teams to translate requirements into solutions.
• Lead code and design reviews and mentor junior engineers.
• Ship production-quality GPU software with measurable performance improvements.

Skills

CUDA C/C++

GPU programming

Performance profiling

MPI/NCCL

Kernel integration ML frameworks

C++ systems programming

Numerical methods

Communication/collaboration

Education

Bachelor's or Master's degree in CS/CE

Tools

Triton

CUTLASS

LLVM/MLIR exposure

Job description

Bright Vision Technologies seeks a GPU Software Engineer (CUDA) to design and optimize compute-intensive workloads on modern accelerator hardware. You will deliver high-performance CUDA GPU software for AI training, inference, and data processing.

Ideal candidates bring deep CUDA/C++ expertise, strong system programming skills, and a track record of producing production-ready, high-performance GPU code. Collaboration with product, design, and engineering teams is essential.