--- title: GPU Kernel Engineer at Sciforium in San Francisco, CA description: Sciforium is hiring for the GPU Kernel Engineer role in San Francisco, CA. Pays $190K–$250K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/gpu-kernel-engineer-at-sciforium-com-01a0dac6-a2cd-78b9-8a8f-76fbafb7b845 date: 2026-11-15T01:26:44Z og_description: Join Sciforium as GPU Kernel Engineer in San Francisco, CA. Pays $190K–$250K per year. Full-time, hybrid role. og_image: https://www.foundrole.com/og/cbpyr7.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Sciforium | | **Location** | San Francisco, CA | | **Salary** | $190K/yr - $250K/yr | | **Type** | Full Time | | **Posted** | Sep 26, 2026 | | **History** | First seen 22 days ago (2026-10-23), reposted once | ## Is this job real? **Ghost job check:** A · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Sciforium sponsors H-1B visas. It filed 6 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Sciforium. ## Pay for similar jobs Most similar jobs pay $192,000 – $254,000 a year (median $213,000). ## Description Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. ## **About the role** We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom GPU kernels that power next-generation large-scale AI systems. You will work across the hardware–software stack, from low-level kernel development to integrating optimized ops into high-level ML frameworks used for large-scale training and inference. This role is ideal for someone who thrives at the intersection of GPU programming, systems engineering, and cutting-edge AI workloads, and who wants to make meaningful contributions to the efficiency and scalability of our ML platform.   ### **Key Responsibilities** - Design, implement, and optimize custom GPU kernels using C++, PTX, CUDA, ROCm, Triton, and/or JAX Pallas. - Profile and optimize end-to-end performance of ML operations, with a focus on large-scale LLM training and inference. - Integrate low-level GPU kernels into frameworks such as PyTorch, JAX, and custom internal runtimes. - Develop performance models, identify bottlenecks, and deliver kernel-level improvements that significantly accelerate AI workloads. - Collaborate with ML researchers, distributed systems engineers, and model-serving teams to optimize compute performance across the stack. - Work closely with hardware vendors (NVIDIA/AMD) and stay current on the latest GPU architecture capabilities and compiler/toolchain improvements. - Contribute to tooling, documentation, benchmarking suites, and testing frameworks to ensure correctness and performance reproducibility.   ### **Must-Haves** - 5+ years of industry or research experience in GPU kernel development or high-performance computing. - Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field. - Strong programming skills in C++, Python, and familiarity with ML frameworks. - Deep expertise in CUDA/ROCm, GPU memory models, and performance optimization strategies. - Hands-on experience with Triton and/or JAX Pallas for custom kernel development. - Strong understanding of PTX, GPU ASM, and low-level GPU execution. - Extensive experience writing and optimizing custom GPU kernels in C++ and PTX. - Proven ability to integrate low-level kernels into PyTorch, JAX, or similar frameworks. - Experience working with large-scale LLM workloads (training or inference).   ### **Nice-to-Haves** - Experience with AMD GPUs and ROCm optimization. - Familiarity with JAX FFI and custom ML operator development. - Experience with efficient model serving frameworks (e.g., vLLM, TensorRT). - Experience with TPUs, XLA, or similar accelerator programming environments. - Contributions to open-source ML systems, compilers, or GPU kernels. ## **Benefits include** - Medical, dental, and vision insurance - 401k plan - Daily lunch, snacks, and beverages - Flexible time off - Competitive salary and equity ## **Equal opportunity** Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. ## Skills - Foreign Function Interface - Machine Learning Model Training - Open-Source Software - NVIDIA Triton Inference Server - Performance Optimization - Python - ROCm - Linux Kernel Development - GPU Kernel Development - Compiler Design - Benchmarking - Mathematics - Compilers - C++ - JAX - GPU (Graphics Processing Unit) - Large Language Models (Llm) - NVIDIA CUDA - Computer Engineering - Computer Science - NVIDIA TensorRT - Toolchain - Electrical Engineering - GPU Architecture - Machine Learning - Writing - Model Serving - vLLM - Distributed Systems ## Benefits - Health Insurance - Dental Insurance - Vision Insurance - Paid Time Off (Pto) - 401(k) Plans ## Related - [Technology & Software jobs](https://www.foundrole.com/careers/technology-and-software?utm_source=ai_markdown)- [Software Development jobs](https://www.foundrole.com/careers/technology-and-software/software-development?utm_source=ai_markdown)- [Software Developer / Engineer jobs](https://www.foundrole.com/careers/technology-and-software/software-development/software-developer-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260760 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27903 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260760 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 27903 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)