Software Engineer (C++) | Remote

Crossing Hurdles; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Crossing Hurdles is seeking a GPU performance engineer in the United States to optimize kernels, profile CUDA workloads, and drive high‑impact improvements across architectures.

You will work with teams to identify bottlenecks, refactor code, implement shader workflows with GLSL and WebGPU, and document findings with clear reports. This role emphasizes collaboration with hardware and software stakeholders and requires a proven track record of delivering measurable speedups on real projects.

Qualifications

• Strong CUDA programming experience with proven performance tuning.
• Advanced C++ development in high-performance computing environments.
• Experience with GLSL and WebGPU shader development.
• Proficient in GPU profiling with Nsight or Visual Profiler.

Responsibilities

• Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools.
• Collaborate with stakeholders to identify kernel bottlenecks and propose optimization strategies.
• Refactor C++ and CUDA codebases for improved efficiency across GPU architectures.
• Implement shader logic and graphics workflows using GLSL and WebGPU.
• Document findings, optimization steps, and performance improvements with clear reports.
• Contribute expertise to design discussions and evaluate new GPU-based approaches.

Skills

CUDA programming

C++ HPC

GLSL

WebGPU

GPU profiling

Tools

Nsight

Visual Profiler

Job description

• Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools.
• Collaborate with stakeholders to identify kernel bottlenecks and propose optimization strategies.
• Refactor C++ and CUDA codebases for improved efficiency across GPU architectures.
• Implement shader logic and graphics workflows using GLSL and WebGPU.
• Document findings, optimization steps, and performance improvements with clear reports.
• Contribute expertise to design discussions and evaluate new GPU-based approaches.

Requirements

• Demonstrated expertise in CUDA programming with a strong track record in performance-tuning.
• Advanced C++ development skills in high-performance computing environments.
• Hands-on experience with GLSL and WebGPU for shader development.
• Proficiency using GPU profilers like Nsight or Visual Profiler for optimization.
• Strong analytical abilities to evaluate kernel performance across hardware generations.