338 gpu jobs at 163 companies in Rohnert Park, CA
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GPU Kernel Engineer
San Francisco, California, United States
$180k-$280k/yr OnsiteFull Time
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
CUDA, CuTe DSL
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Systems/GPU Research Engineer
San Francisco or Los Angeles
$160k-$320k/yr OnsiteFull Time
Expertise in systems and GPU engineering, GPU architectures, neural network performance, C++/CUDA/Python proficiency, and strong research background with publications preferred.
C++, CUDA, GPGPU, Python, Linux
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Senior GPU Capacity Planner
San Francisco or Sunnyvale or Bellevue
$160k-$195k/yr OnsiteFull Time
3+ YOE3+ years capacity planning or systems engineering experience; hyperscaler cloud experience; GPU topology knowledge (NVIDIA H100/B200); Bachelor’s or Master’s in quantitative field; strong cross-functional communication and modeling skills.
AWS, GCP, Azure, Oracle Cloud, NVIDIA H100, NVIDIA B200
5d
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Senior Systems GPU Engineer – AI & Robotics
San Francisco or Sunnyvale
$160k-$271k/yr OnsiteFull Time
6+ YOEMaster’s degree in a technical field and 6+ years of embedded systems software experience required. Requires CUDA/OpenCL, C/C++/Python/Bash, Linux, real-time systems, machine learning, and robotics expertise.
NVIDIA Nsight Systems, NVIDIA Nsight Compute, Linux, Docker, NVIDIA Container Toolkit, Kubernetes, CUDA, OpenCL, C, C++, Python, Bash, QNX, Yocto, PyTorch, TensorFlow
2w
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Member of Technical Staff - GPU Infrastructure Engineer
San Francisco, California, United States
OnsiteFull Time
Strong software engineering with production infrastructure tooling, deep distributed systems/Linux/networking/storage knowledge, experience operating shared compute clusters and supporting production users.
Linux, SLURM, Kubernetes, Ray, Hadoop
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GPU/CPU Systems Engineer
Seattle or San Francisco
$135k-$306k/yr OnsiteFull Time
10+ YOEExpertise in GPU/CPU hardware and platform engineering, firmware and diagnostics (BMC, UEFI/BIOS, Linux), board-level tools, FPGA and server architectures (x86/ARM); 10+ years experience preferred; strong debugging and communication skills.
BMC firmware, UEFI, BIOS, Linux, FPGA, PCIe, DDR, Ethernet, USB, SPI, GPU
3w
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Staff Software Engineer, GPU Infrastructure Lifecycle Management
San Francisco, California, United States
$240k-$280k/yr OnsiteFull Time
Strong software engineering experience with Go, Python, or Rust; durable workflow orchestration (Temporal/Cadence); control-plane/orchestration and event-driven system experience; product mindset building internal platforms.
Go, Python, Rust, Temporal, Cadence, Kubernetes, Kafka, NATS, SQS, PXE, iPXE, Redfish, IPMI, BMC, NCCL, CUDA, InfiniBand, RoCE
3mo
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Infrastructure Engineer (GPU & Compute)
New York or San Francisco or Seattle
$180k-$200k/yr RemoteFull Time
5+ YOE5+ years in infrastructure or systems engineering; strong Linux in production; GPU hardware and software experience; bare-metal provisioning; Python automation; debugging across hardware/OS/GPU.
NVIDIA DCGM, PXE, IPMI, Redfish, iDRAC, LiveCD, InfiniBand, NVLink, Linux, Python
1d
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Senior ML Accelerator Engineer - GPU
Sunnyvale or Washington or Austin or San Francisco or Warren
$170k-$258k/yr HybridFull Time
2+ YOERequires 2+ years of relevant experience and a CS or related technical degree. Strong CUDA and C++ skills, GPU architecture knowledge, performance optimization experience, and analytical, collaborative communication skills.
CUDA, C++, NSight, CUTLASS, CuTe
3w
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Engineering Manager, GPU Infrastructure
Toronto or San Francisco or New York City or London or Paris or Montreal
HybridFull Time
Experience managing engineering teams focused on GPU/ML infrastructure, Kubernetes, IaC, observability, and collaboration with AI researchers; strong communication and mentorship skills.
JAX, PyTorch, TensorFlow, Kubernetes, Prometheus, Grafana, Terraform, ArgoCD
2d
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Photoshop Developer, GPU/Imaging
San Francisco or San Jose or Seattle or New York City
$139k-$258k/yr OnsiteFull Time
Bachelor's or master's in computer science or equivalent experience; graphics and GPU programming fundamentals; modern C++, graphics APIs, asynchronous production code, and strong analytical and debugging skills.
C++, WebGPU, WGSL, Metal, DirectX, Vulkan, WebAssembly, Adobe Photoshop, AI tools
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Software Engineer, Compute (GPU)
San Francisco or New York or Austin or Seattle
$175k-$300k/yr OnsiteFull Time
Experience building automation and observability for large GPU fleets; familiarity with firmware/BMC/Redfish/IPMI, Kubernetes, metrics and alerting, and production automation; comfortable with incident response and on-call.
Kubernetes, Redfish, BMC, IPMI, Temporal, Cadence, Prometheus, Grafana, Go, Python, LLM APIs, Claude Code, Cursor
1w
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Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
San Francisco or Seattle or New York City or United States
$250k-$485k/yr OnsiteFull Time
Deep Kubernetes and GPU cluster experience, multi-cloud orchestration, strong distributed systems fundamentals, systems-level coding in Go/Rust/C++, and experience with training and inference workloads.
Kubernetes, kubectl, NVIDIA, CUDA, InfiniBand, RoCE, CoreWeave, AWS, GCP, Go, Rust, C++, vLLM, SGLang, TensorRT-LLM, Slurm, Triton, RDMA, Prometheus, Grafana, Weights & Biases
1mo
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Member of Technical Staff, AMD GPU Performance Engineering
San Francisco, California, United States
$200k-$400k/yr OnsiteFull Time
Bachelor's or equivalent experience; hands-on AMD GPU optimization using ROCm/HIP/Triton/CK/AITER; deep understanding of AMD GPU execution, memory, toolchains; experience optimizing ML kernels and strong profiling/benchmarking skills.
ROCm, HIP, Triton, CK, AITER, vLLM, SGLang, TensorRT-LLM, MLIR, LLVM, PyTorch
6d
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GPU Cluster Engineer, Networking
San Francisco, California, United States
$150k-$180k/yr OnsiteFull Time
7+ YOERequires 7+ years designing production data center networks, large-scale HPC/AI fabric experience, expert routing and switching, RDMA, network security, automation with Python and Ansible, and cloud networking experience.
InfiniBand, RoCE v2, NVLink, NVSwitch, BMC, IPMI, ConnectX, BlueField, OSFP, QSFP-DD, BGP, VLAN, VRF, EVPN-VXLAN, PFC, ECN/DCQCN, QoS, DSCP, UFM, OpenSM, SHARP, perftest, ib_write_bw, nccl-tests, rccl-tests, GPUDirect RDMA, OSPF, ECMP, Arista EOS, NVIDIA Cumulus, Cisco NX-OS, Junos, SONiC, WireGuard, IPsec, NAT, ACL, NetBox, Ansible, Nornir, NAPALM, Git, gNMI, sFlow, Prometheus, Grafana, DWDM, AWS Direct Connect, Azure ExpressRoute, GCP Interconnect, VPC, Transit Gateway, Python, MOFED, DOCA, NCCL, RCCL, Kubernetes, CNI, SR-IOV, Multus, CCIE, JNCIE
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Software Engineer- GPU Fabric Observability
San Francisco, California, United States
$200k-$380k/yr HybridFull Time
Staff-level experience building production infrastructure software, strong distributed systems and telemetry pipeline background, networking and high-performance network knowledge, experience processing high-volume operational data.
Kubernetes
1d
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Cloud Platforms and Infrastructure Engineer, TPU/GPU
Austin or San Francisco or Atlanta or Boulder or Addison or Miami or Sunnyvale or Chicago
$152k-$221k/yr OnsiteFull Time
6+ YOEBachelor's degree or equivalent; 6 years in infrastructure automation, DevOps, CI/CD, Kubernetes, and Linux; 3 years in project management and technical delivery; coding experience and cloud provider experience required.
Kubernetes, Linux, Python, Java, Go, C, C++, Google Cloud Platform (GCP), PANW, Fortinet, VMWare, TCP/IP, Hypertext Transfer Protocol, Border Gateway Protocol (BGP), IAM, PyTorch, JAX, TensorFlow, Slurm, Google Kubernetes Engine (GKE)
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Member of Technical Staff - Research Engineer
Freiburg im Breisgau or San Francisco
$180k-$290k/yr HybridFull Time
Deep experience with large-scale training systems, PyTorch, distributed training, GPU profiling and low-precision training; ability to debug training failures and implement GPU-level optimizations.
PyTorch, FSDP, NCCL, Nsight Systems, Nsight Compute, torch profiler, CUDA, Triton, CuTe, CUTLASS
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Staff Cluster Infrastructure Engineer
San Francisco, California, United States
$224k-$284k/yr OnsiteFull Time
6+ YOE6+ years operating GPU compute on Kubernetes, strong Python/Go programming, experience with Terraform or CloudFormation, bare-metal Linux and GPU hardware familiarity, and strong automation and reliability focus.
Kubernetes, Python, Go, Terraform, CloudFormation, Linux, GPU
2w
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Staff Engineer, Inference Optimizations
San Francisco, California, United States
$191k-$239k/yr RemoteFull Time
5+ YOE5+ years in high-performance computing or AI infrastructure, deep GPU and low-level optimization expertise, experience with CUDA/Triton/ROCm, distributed GPU parallelization, and system design for inference workloads.
CUDA, ROCm, TensorRT, OpenAI Triton, AITER, FlashAttention