Remote CUDA Developer — High-Performance GPU & HPC

Bright Vision Technologies; Beaverton (OR); Remote; USD 85,000 - 110,000; Full time

Job summary

Bright Vision Technologies is seeking a CUDA Developer with deep expertise in CUDA programming, GPU architecture, and high‑performance computing to design and optimize compute‑intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high‑throughput data processing workloads.

You will collaborate with cross‑functional partners—product, design, engineering, operations, and

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.
• Hands-on experience profiling and optimizing GPU workloads in production.
• Strong C++ skills and familiarity with modern systems programming practices.

Responsibilities

• Design and optimize compute‑intensive workloads on modern accelerator hardware.
• Work with cross‑functional teams to translate ambiguous requirements into robust solutions.
• Raise the bar through code reviews, design reviews, and mentoring of junior engineers.
• Collaborate with product, design, engineering, operations, and business stakeholders to deliver production‑grade GPU software.

Skills

CUDA C/C++

GPU programming

Performance engineering

C++

Numerical methods

Communication

Education

Bachelor’s or Master’s degree in CS/CE or related field

Tools

NCCL

MPI

High-performance interconnects

CUDA tooling

Job description

Bright Vision Technologies is seeking a CUDA Developer with deep expertise in CUDA programming, GPU architecture, and high‑performance computing to design and optimize compute‑intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high‑throughput data processing workloads.

You will collaborate with cross‑functional partners—product, design, engineering, operations, and