Remote HPC Engineer: CUDA & GPU Performance Expert

Bright Vision Technologies; United States; Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies is seeking a High Performance Computing Engineer to design and optimize compute-intensive workloads on modern accelerator hardware. The role focuses on extracting peak performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing.

The ideal candidate will have deep CUDA programming expertise, strong C++ systems skills, and a track record of shipping production-grade performance improvements.

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 knowledge 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 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 to translate requirements into solutions.
• Mentor junior engineers and contribute to code and design reviews to improve quality.

Skills

CUDA C/C++

GPU programming

Performance engineering

MPI/NCCL

C++ systems

GPU architectures

Profiling

Education

Bachelor’s or Master’s in CS/CE

Tools

NCCL

MPI

CUDA

TensorRT

CUTLASS

Triton

LLVM

MLIR

Job description

Bright Vision Technologies is seeking a High Performance Computing Engineer to design and optimize compute-intensive workloads on modern accelerator hardware. The role focuses on extracting peak performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing.

The ideal candidate will have deep CUDA programming expertise, strong C++ systems skills, and a track record of shipping production-grade performance improvements.