Remote GPU Systems Engineer – CUDA & HPC Performance

Talanto; Northern (KY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

BV Teck is seeking a GPU Systems Engineer to design and optimize CUDA-based workloads for AI and HPC, with a focus on extracting peak performance from modern accelerators. The role requires deep CUDA expertise, strong C++ skills, and production-level profiling, with collaboration across product, engineering, and operations teams.

You will work remotely within the U.S., contributing to compiler-level optimizations and guidance on new GPU architectures while mentoring junior engineers and driving

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 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 implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases.
• Profile and optimize GPU code using Nsight systems, Nsight Compute, and CUDA profilers.
• Tune memory access patterns, occupancy, register usage, and shared memory for peak performance.
• Develop highly optimized libraries for linear algebra, attention, and ML primitives.
• Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking.
• Implement custom operators and fused kernels in PyTorch, JAX, or Triton.
• Collaborate with ML engineers to identify performance bottlenecks in training and inference.
• Develop benchmarks and regression tests to safeguard performance over time.
• Evaluate new GPU architectures and feature sets; advise on adoption strategy.
• Contribute to compiler-level optimizations for tensor programs at the ML/framework boundary.
• Document performance characteristics and tuning playbooks for internal teams.
• Stay current with GPU architecture and CUDA evolution.

Skills

CUDA C/C++

GPU programming

Performance profiling

NCCL/MPI

C++ systems programming

Linear algebra

Communication

PyTorch/Triton

CUDA architectures

Education

Bachelors or Masters in CS/CE

Tools

Triton

CUTLASS

TensorRT

LLVM/MLIR

Job description

BV Teck is seeking a GPU Systems Engineer to design and optimize CUDA-based workloads for AI and HPC, with a focus on extracting peak performance from modern accelerators. The role requires deep CUDA expertise, strong C++ skills, and production-level profiling, with collaboration across product, engineering, and operations teams.

You will work remotely within the U.S., contributing to compiler-level optimizations and guidance on new GPU architectures while mentoring junior engineers and driving