602 software engineer gpu jobs at 158 companies in Pittsburg, CA
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System Software Engineer - GPU
Santa Clara, California, United States
$152k-$242k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
5+ YOEBS or MS in Electrical/Computer Engineering or Computer Science; 5+ years in hardware/software; strong C/C++; knowledge of PC architecture; GPU/driver/app exposure; experience with AI tooling and modern AI-assisted workflows.
C/C++, CUDA, Vulkan, PCIe, Nvlink, Infiniband, Ethernet, AI tooling
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
8+ YOE8+ years software engineering experience, strong C++ and Python skills, GPU inference experience, Linux, containers and Kubernetes, benchmarking and production optimization for latency-sensitive services.
Bolt Graphics: Designing high-efficiency graphics processors for professional rendering and simulation.
Expertise in modern GPU APIs, C/C++ and compiler toolchains (LLVM/MLIR/ISPC), experience with Mesa and Khronos tests; bachelor's or master's in CS/CE; ability to ship production software.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
10+ YOE10+ years software development experience, strong C and low-level driver/kernel experience, BS/MS in Computer Engineering or Computer Science (or equivalent), Linux/Android/Windows kernel experience, system-level debugging and performance optimization.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
Architect, design, implement, verify, and optimize GPU cores; build functional models, develop software/tools/tests, run benchmarks, and perform pre/post-silicon verification. Master's in EE/CE/CS or related.
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.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
10+ YOE10+ years building large-scale distributed systems; deep GPU and accelerator expertise; experience with driver/firmware lifecycle, CUDA, GPU scheduling, Kubernetes; strong Go proficiency and technical leadership.
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
5+ YOE5+ years building HPC/GPU software, hands-on CUDA kernel authoring and optimization, C++/Python coding, GPU profiling, and experience delivering performance at scale.
Sr. Staff/Principal Engineer — GPU Driver & Systems Software
San Diego or San Jose
$179k-$286k/yrOnsiteFull Time
MediaTekTaiwan Stock Exchange: 2454: Designs and develops system-on-chip solutions for electronic devices.
10+ YOE10+ years building GPU drivers or low-level systems software; fluent C/C++; deep knowledge of Vulkan/DirectX/OpenCL/OpenGL ES and GPU internals; experience with kernel-mode drivers, firmware, performance optimization.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
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.
Together AI: Cloud platform for training and deploying artificial intelligence models.
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.
System Software Engineer, Robot Platform — GPU & Accelerated Compute
Redwood City, California, United States
OnsiteFull Time
Sunday: Developing autonomous robots to perform household chores.
2+ YOE2+ years in GPU systems software; proficient in CUDA and a systems language (C++, C, or Rust); strong understanding of GPU architecture and time-slicing; experience with CUDA ecosystem and GPU sharing; solid Linux fundamentals.
CUDA, CUDA Graphs, CUDA IPC, Nsight Systems, Nsight Compute, NVDEC, NVENC, MPS, MIG, Linux
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.
Baseten: Scalable infrastructure platform for deploying and serving AI models.
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.
Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
San Francisco or Seattle or New York City or United States
$250k-$485k/yrOnsiteFull Time
Perplexity: AI-powered search engine providing conversational answers with citations.
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.
Lightning AI: Unified platform to build, train, and deploy AI models.
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.
Member of Technical Staff - GPU Infrastructure Engineer
San Francisco, California, United States
OnsiteFull Time
Liquid AI: Develops efficient general-purpose artificial intelligence foundation models.
Strong software engineering with production infrastructure tooling, deep distributed systems/Linux/networking/storage knowledge, experience operating shared compute clusters and supporting production users.
MatX: Developing custom silicon chips optimized for large language models.
7+ YOE2+ Mgmt2+ years management, 7+ years engineering, BS in Computer Science or equivalent, experience optimizing software for specialized hardware (SIMD, parallelism, assembly, GPU/CUDA), strong communication and stakeholder alignment.