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39 gpu kernel development engineer jobs at 7 companies in Salinas, CA

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Principal Engineer, CUDA UMD - GPU Kernel Scheduling
Santa Clara, California, United States
$272k-$431k/yr OnsiteFull Time
NVIDIA
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.
C, C++, CUDA, CUDA Graphs, CUDA APIs, Linux
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GPU Performance Architect
Folsom or Santa Clara
$127k-$217k/yr HybridFull Time
AMD
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Develop performance models and prototypes for GPU/SoC systems; analyze ML/HPC workloads; write and optimize GPU kernels; strong programming in C/C++/Python; knowledge of CUDA/OpenCL and ML frameworks.
TensorFlow, PyTorch, CUDA, OpenCL, C, C++, Python, Hip, Triton, MLIR, LLVM, RTL, System C
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Principal Engineer, CUDA UMD - GPU Kernel Scheduling
Santa Clara, California, United States
$272k-$431k/yr OnsiteFull Time
NVIDIA
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.
C, C++, CUDA, Linux
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GPU/AI Application System Software Engineer Intern (System Technologies and Engineering) - 2027 Summer
San Jose, California, United States
OnsiteInternship
ByteDance
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.
Linux, Python, TensorFlow, PyTorch, MPI, NCCL, UCX, NVSHMEM, RDMA, GPU, TPU, Cloud
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Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Austin or Seattle or Cupertino
$151k-$235k/yr OnsiteFull Time
Amazon
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
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Silicon Validation Software Engineer- GPU IP Validation and Integration
Cupertino, California, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience developing graphics/SoC validation software and integrating it into system-level test environments; strong background in graphics, video processing, kernel/embedded systems, and critical attention to detail.
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Senior Lead Engineer, Software (Firmware) 2
San Jose, California, United States
OnsiteFull Time
Celestica
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.
C, C++, PCIe, USB, DDR, MIPI, Ethernet, Linux Kernel, BIOS, BMC, Secure Boot, IOMMU, CUDA, ROCm
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Software Engineer - C/C++
San Jose, California, United States
OnsiteFull Time
PolyExplore
PolyExplore: Develops high-precision mobile mapping and navigation technology.
BA/BS in CS or EE (MA/MS preferred). Strong C/C++ and embedded firmware skills, GPU programming, Linux knowledge, cross-platform development (Windows,iOS,Linux,AWS).
C, C++, Linux, iOS, Windows, AWS, Linux kernel
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2mo
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Principal Software Engineer - Kernels
Santa Clara, California, United States
$200k-$300k/yr HybridFull Time
d-Matrix: Develops high-performance semiconductor chips for generative AI inference.
12+ YOEMS with 12+ years or PhD with 7+ years; strong computer architecture; C/C++ and Python in Linux; experience with GPUs/AI accelerators; ML workloads; hardware-software co-design; leadership.
C/C++, Python, Linux, CUDA, TensorFlow, PyTorch, MLIR, LLVM, TVM
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