> Markdown version of [/jobs/ext/2720035-gpu-performance-engineer](https://www.wearedevelopers.com/jobs/ext/2720035-gpu-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GPU Performance Engineer - **Company:** Genmo Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Profiling, Nvidia CUDA, Software Debugging, InfiniBand, Python (Programming Language), Linux Kernel, Remote Direct Memory Access, System Programming, Graphics Processing Unit (GPU), Syntactically Awesome Style Sheets (SASS), Information Technology - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/gpu-performance-engineer-genmo-7178169 ## About the Role * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field * 5+ years systems programming experience with 3+ years focused on GPU optimization * Expert proficiency with GPU profiling tools (Nsight Systems, nvprof) * Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance improvements (5-10x) * Experience with Python and C++ in production environments We Value * Experience with Triton kernel development * Knowledge of CUTLASS or similar high-performance libraries * Background in ML-specific optimizations (attention, transformers) * RDMA/InfiniBand optimization experience * Contributions to GPU libraries or frameworks * Low-level debugging skills (PTX/SASS reading), Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. ## Description You'll be our performance optimization expert, using advanced profiling tools to identify bottlenecks and implementing solutions that achieve 5-10x speedups. From writing custom CUDA kernels to eliminating cold start latency, you'll ensure our infrastructure delivers world-class performance. This role is perfect for someone who gets excited about microsecond optimizations and pushing hardware to its theoretical limits., * Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation * Write high-performance CUDA and Triton kernels for critical model operations * Optimize cold start latency from seconds to milliseconds for our serving infrastructure * Tune memory access patterns, kernel fusion, and GPU utilization * Collaborate with ML engineers to optimize model implementations * Debug performance issues across the full stack from application to hardware * Implement custom memory pooling and allocation strategies * Share optimization techniques and build performance culture across teams ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [CUDA Python: GPU programming for the modern developer](https://www.wearedevelopers.com/videos/100221-cuda-python-gpu-programming-for-the-modern-developer) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) ## Related Articles - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 102 - Race conditions](https://www.wearedevelopers.com/magazine/386-dev-digest-102-race-conditions) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)