17 gpu ai kernel development engineer jobs at 6 companies in San Francisco, CA
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Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Santa Clara, California, United States
OnsiteFull Time
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Expert in high-performance C++ and GPU programming (HIP/CUDA), experience with LLMs and AI systems, GPU profiling and kernel optimization, and degree in CS/CE/EE.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOEMasters in CS/EE or equivalent experience; 6+ years in ML/DL systems; strong Python and C/C++; experience with deep learning frameworks, inference engines, runtimes, and GPU kernel development.
Senior Staff Software Development Engineer- GPU/AI/ML
Santa Clara, California, United States
$179k-$306k/yrHybridFull Time
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Expert C++ and GPU kernel experience (HIP/CUDA), hands-on work on ROCm/CUDA libraries and ML frameworks, deep understanding of transformers/LLMs, Bachelor's in CS/CE/EE or equivalent; Master's/PhD preferred.
GPU/AI Application System Software Engineer Intern (System Technologies and Engineering) - 2027 Summer
San Jose, California, United States
OnsiteInternship
ByteDance: Global technology specializing in AI-powered content platforms.
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.
Santa Clara or Westford or Austin or Durham or Seattle
$224k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOE12+ years software engineering experience in GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
Santa Clara or Austin or Westford or Durham or Seattle
$224k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOE12+ years software engineering experience with GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
Senior Software Engineer, AI and DL Kernel Libraries
Santa Clara or Georgia or Texas or Colorado or Washington or California or Oregon or Massachusetts
$184k-$288k/yrRemoteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOEMasters (or equivalent experience) in CS/EE, 6+ years ML/DL systems experience, strong Python and C/C++ skills, GPU kernel development experience (CUDA, Triton, cuTile), familiarity with deep learning frameworks and inference runtimes.
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Deep expertise in GPU kernels, Triton, compiler backends, GPU architecture, parallel algorithms, and performance engineering for AI/ML workloads; bachelor's or master's degree preferred.
Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Austin or Seattle or Cupertino
$151k-$235k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
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
Software Engineer, AI Kernels & Performance Optimization — MTIA Software
Bellevue or Menlo Park or New York City
$184k-$257k/yrOnsiteFull Time
MetaNASDAQ: META: Builds technologies that help people connect, find communities, and grow businesses.
6+ YOEBachelor's degree or equivalent practical experience; 6+ years in HPC, accelerator kernels, compiler backends, or systems performance; C++ and Python proficiency; parallel architecture kernel optimization experience.
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Senior software engineer for Physical AI: develop and optimize perception, computer vision, and AI workloads for embedded/edge systems. Strong C++, Python, Linux skills; experience deploying ML/DL on edge, performance profiling, and hardware/software integration.
Vitis AI, AMD Versal AI Edge, C++, Python, Linux, ONNX, PyTorch, TensorFlow, ROS 2, OpenGL, Vulkan, Wayland, Linux kernel, Zynq UltraScale+, Kria, AI Engines, CPU, GPU, NPU, FPGA
d-Matrix: Private AI infrastructure serving data centers with inference accelerators, networking, and software.
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.
Hewlett Packard EnterpriseNYSE: HPE: Global edge-to-cloud advancing how people live and work.
Ph.D. in Computer Science or Electrical/Computer Engineering; strong distributed systems, HPC, AI workloads; programming in C/C++, Python; Linux kernel, Open vSwitch; CUDA, PyTorch, Kubernetes; network protocols.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
5+ YOEBS, MS, PhD, or equivalent experience; 5+ years in AI/software engineering; Python or C++; GPU model optimization, kernel development, communication, and customer-facing collaboration.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
5+ YOEDegree in CS/EE/Physics/Math or equivalent experience,5+ years AI/software engineering,proficient in Python/C++,experience profiling and optimizing models on GPUs and developing GPU kernels,strong communication skills.