8 gpu kernel development engineer jobs at 7 companies in Napa, CA
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GPU Kernel Engineer
San Francisco, California, United States
$180k-$280k/yrOnsiteFull Time
TypeSafe AI: Building reliable, general frontier AI models for automation.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
MakerMaker: Autonomous research agents for recursive self-improvement
4+ YOE4+ years GPU kernel development; hardware-level fluency; profiling; Python/C++ reading; track record of kernel-level optimizations; strong systems know-how.
Nimble: Building autonomous robotic systems for supply chain fulfillment.
3+ YOE3+ years professional software engineering experience; proficiency in Rust, C, or C++; Linux kernel development, board bring-up, bootloader/uboot/EDK2/UEFI experience, networking knowledge, and strong communication and mentoring skills.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
12+ YOE12+ years designing core infrastructure at hyperscale or in HPC, with Linux kernel, virtualization, high-performance networking, GPU optimization, R&D leadership, and a bachelor's or master's degree in a related field.
Linux kernel, KVM, QEMU, Firecracker, RoCE v2, InfiniBand, RDMA, SR-IOV, Kubernetes, Slurm, NVIDIA, AMD, Linux, IETF RFCs
Black Forest Labs: Develops generative AI models for image and video creation.
Deep experience with large-scale training systems, PyTorch, distributed training, GPU profiling and performance, low-precision/quantization work, kernel-level optimizations, and debugging distributed training failures.
Radical Numerics: Building general biological intelligence models for scientific discovery.
Deep expertise in large-model inference, GPU performance engineering, kernel development (CUDA/Triton), Python and PyTorch, distributed systems, and production model deployment.