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
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
3+ YOEMaster's in EE/CE/CS or Bachelor's plus 3 years experience; experience in architecting, designing, implementing, verifying GPU cores, performance/power optimization, and running benchmarks.
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.
Vast.ai: Decentralized marketplace for GPU cloud computing resources.
Expertise in systems and GPU engineering, GPU architectures, neural network performance, C++/CUDA/Python proficiency, and strong research background with publications preferred.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
10+ YOE10+ years in GPU/CPU system architecture, degree in computer engineering/computer science or equivalent experience, proficient in C++ and Python, strong modeling, communication, and problem-solving skills.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
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.
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
Senior infrastructure/DevOps engineer with expertise in bare-metal provisioning, GPU scheduling, Terraform/Pulumi, CI/CD for infrastructure, storage for AI/ML workloads, and cloud-init provisioning.
Samsung ElectronicsKorea Exchange: 005930: Develops and manufactures consumer electronics, semiconductors, and mobile devices.
11+ YOE11+ years with BS or 9+ with MS or 7+ with PhD; expertise in GPU architecture, ML, workload analysis; strong C++/Python skills; familiarity with TensorFlow and PyTorch.
HPNYSE: HPQ: Manufactures personal computers, printers, and 3D printing hardware.
10+ YOEDesign GPU/NPU driver architectures and memory management for shared CPU/GPU/NPU use; 10+ years experience recommended; degree in electrical or related engineering preferred; expertise in memory/GPU design, hardware architecture, debugging, and laboratory tools.
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
2+ YOE2+ years software engineering experience; proficiency in Go and/or Python; production Kubernetes experience; develop performance tests, automation, and platform tooling; participate in on-call rotation.
HPNYSE: HPQ: Manufacturer of personal computers, printers, and imaging devices.
10+ YOE10+ years experience in electrical/hardware or driver architecture; expertise in GPU/memory design, OS-driver contracts (Windows/Linux), debugging, FPGA and hardware architecture; degree in electrical engineering or related preferred.
SkyPilot: Unified compute platform for orchestrating AI workloads across clouds.
Hands-on experience with GPU/accelerator systems and ML training or inference infrastructure; strong Python and systems-level skills; experience operating large-scale training or high-throughput inference.
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.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
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.