84 gpu kernel development engineer jobs at 35 companies in United States
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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.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
1+ YOEExperience developing and optimizing GPU kernels and drivers; strong C/C++ skills; familiarity with GPGPU APIs (CUDA/OpenCL) and graphics APIs; degree in related field with relevant software engineering experience.
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.
SR. Software Development Engineer – GPU Kernel Development
Santa Clara, California, United States
$240k-$360k/yrOnsiteFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Expert C++ and Python developer experienced with GPU kernel development (HIP, CUDA, ASM), deep learning frameworks (TensorFlow, PyTorch), compiler internals (LLVM/ROCm), and performance optimization in Linux; advanced degree preferred.
Bolt Graphics: Designing high-efficiency graphics processors for professional rendering and simulation.
Experience designing and implementing high-performance user/kernel drivers for Windows and Linux; proficiency in C/C++; knowledge of modern GPU APIs and compiler toolchains; BS/MS in related field preferred.
Waymo: Autonomous driving technology for ride-hailing and logistics.
Experience developing GPU kernels and runtimes for machine learning systems; strong ML systems background and ability to work on autonomous driving software.
BitdeerNASDAQ: BTDR: Operates cryptocurrency mining and high-performance computing data centers.
Requires a degree in computer science, electrical engineering, or related field; CUDA or Triton, Python, C++, GPU architecture, profiling, inference optimization, and high-performance computing experience.
Principal Engineer, CUDA UMD - GPU Kernel Scheduling
Santa Clara, California, United States
$272k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOEBS/MS in CS/EE or equivalent, strong C/C++ skills, 15+ years development experience, OS and multithreading expertise, experience with large codebases and cross-team project leadership; CUDA and kernel-mode experience preferred.
Principal Engineer, CUDA UMD - GPU Kernel Scheduling
Santa Clara, California, United States
$272k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOEBS/MS in CS/EE or equivalent experience, strong C/C++ skills, 15+ years development experience, OS interfaces and multithreading knowledge, experience with large codebases and driving cross-team projects; CUDA and kernel-mode experience preferred.
micro1: Building AI recruitment software and AI training data infrastructure.
Expertise in GPU programming (CUDA, WebGPU, GLSL), proficiency in C++, and experience optimizing GPU kernels/shaders for performance; ability to integrate host-side C++ logic.
GPU/AI Application System Software Engineer Intern (System Technologies and Engineering) - 2027 Summer
San Jose, California, United States
OnsiteInternship
ByteDance: Developing AI-driven content platforms and mobile applications.
Pursuing a bachelor's or master's degree in computer engineering, electrical engineering, computer science, or related fields; requires OS, Linux kernel, architecture, GPU/CPU benchmarking, and Linux systems experience.
8+ YOE5+ MgmtBachelor's degree or equivalent practical experience; 8 years software development, 7 years embedded operating systems, 5 years design and architecture, kernel and firmware, and C or C++ experience.
Logiqal: Developing modular quantum computing systems using neutral atom technology.
Hands-on instrumentation and software fundamentals; hardware-in-the-loop testing, data pipelines, distributed monitoring; experience integrating high-speed cameras, RF signal generators, GPUs, and Linux kernel customizations.
high-speed cameras, RF signal generators, GPUs, Linux kernel
Silicon Validation Software Engineer- GPU IP Validation and Integration
San Diego, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Develop graphics validation software and integrate it into system-level test environments; experience across graphics, video, kernels, embedded systems, and SoC software expected.
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Austin or Seattle or Cupertino
$151k-$235k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
6+ YOE6+ years systems/software development and systems design experience; strong programming in C++, C#, Java, Python, Golang, PowerShell, or Ruby; Linux/Unix experience; experience building reliable, scalable automation, diagnostics, and CI/CD for server fleets.
C++, C#, Java, Python, Golang, PowerShell, Ruby, Linux, Linux kernel, CI/CD, BMC/IPMI, PCIe, NVMe, GPU, ARM, x86
Anduril Industries: Defense technology building autonomous military hardware and software.
U.S. Person required. Experience with Linux kernel development, board bring-up (device trees, bootloaders, kernel drivers), uboot/EDK2, triaging and patching vulnerabilities, C or Rust, and interest in Nix/NixOS instead of Yocto/buildroot.
LenovoHKSE: 992: Manufactures personal computers, mobile devices, and server infrastructure.
DCIM or Linux kernel development experience; AI infra; data center ops; GPU/CPU energy optimization; benchmarking; Golang and Python; English communication.
CelesticaNYSE: CLS: Provides design, manufacturing, and supply chain solutions for electronics.
6+ YOEBachelors in Engineering, 6+ years C/C++ and embedded systems experience, hardware bring-up, low-level driver development, Linux kernel and device driver expertise, strong analytical skills.
Systems ML Engineer (Member of the Technical Staff)
Cambridge, Massachusetts, United States
OnsiteFull Time
Transfyr: Building physical AI infrastructure for scientific research and automation.
Experience optimizing and deploying large-scale ML models for training and inference, profiling and custom GPU kernel development, distributed training, cloud and edge deployment, and infrastructure automation.