Senior Software Engineer, GPU
Velo3D
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $150,000 - $200,000 per year
Job Level
About the role
- Evaluate and select the appropriate GPU computing technologies and frameworks (e.g., CUDA, Kokkos, or other modern GPU programming models) based on performance, portability, maintainability, and long-term architectural goals.
- Design and implement the GPU computing layer within our desktop software stack, introducing GPU acceleration for computationally intensive workloads.
- Integrate GPU development into the existing build and tooling ecosystem, including configuring the build system, dependency management, CI/CD workflows, and developer tooling to support GPU targets.
- Port and optimize mesh processing algorithms and other performance-critical components from CPU implementations to GPU-accelerated implementations.
- Analyze performance bottlenecks and apply GPU optimization techniques such as memory layout optimization, kernel design, and efficient data transfer between CPU and GPU.
- Establish best practices, documentation, and architectural guidelines for GPU development to enable maintainable and scalable use of GPU acceleration across the codebase.
- Collaborate with other engineers to identify additional opportunities for GPU acceleration and ensure seamless integration with the broader application architecture.
Requirements
- 5-8 years of experience
- Strong experience developing GPU-accelerated software using frameworks such as CUDA, Kokkos, OpenCL, or similar technologies.
- Solid understanding of GPU architecture and parallel programming concepts, including memory hierarchies, kernel execution models, synchronization, and performance optimization.
- Experience evaluating and comparing different GPU programming models and frameworks, and making informed technical decisions about trade-offs such as performance, portability, and developer productivity.
- Experience integrating GPU tooling and compilers into modern build systems and development environments.
- Strong C++ programming skills and experience working in performance-sensitive codebases.
- Ability to translate CPU algorithms into efficient parallel GPU implementations.
- Strong problem-solving and performance-analysis skills, including profiling and debugging GPU code.
Benefits
- healthcare coverage
- 401(K) employer contributions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CUDAKokkosOpenCLGPU programmingC++performance optimizationparallel programmingmemory layout optimizationkernel designdata transfer
Soft Skills
problem-solvingperformance analysiscollaboration