Browse 11 exciting jobs hiring in Gpu Optimization now. Check out companies hiring such as UniversalAGI, NVIDIA, FM in Hialeah, St. Paul, Corpus Christi.
Lead and build the ML cloud platform at an early-stage AI startup in San Francisco, owning end-to-end infrastructure for training and deploying large-scale physics models while remaining deeply technical and customer-facing.
Early-career developers will analyze, optimize, and implement GPU-accelerated algorithms and reference code for public-sector applications while collaborating across architecture, tools, and libraries teams.
NVIDIA seeks a Principal Product Manager to lead AI training and post-training frameworks, building SDKs and tools that maximize large-scale model performance on NVIDIA GPUs.
Lead the architecture and execution of a high-throughput, low-latency ML and simulations platform that enables large-scale model training, inference, and simulation-driven product development.
Lead RTL development and SoC-level IP integration as a Principal Engineer in Intel's Client Engineering Group, shaping architecture, verification, and delivery across CPU/GPU/NOC and advanced compute projects.
Lead the engine engineering effort for Project Sirius, shaping performance, rendering, and tools to deliver an unforgettable multiplayer Witcher experience.
Senior Data Scientist to design and productionize time-series forecasting and optimization models for NBCUniversal’s AdSmart audience products within a remote, cross-functional data technology team.
Rigetti is hiring a Senior Quantum Engineer to lead automation and high-performance simulation of quantum integrated circuit designs for large-scale superconducting processors.
Lead CUDA launch strategy and developer-focused marketing to position NVIDIA’s GPU programming platform as the preferred choice for developers, partners, and decision-makers.
Hippocratic AI is hiring a Director of Engineering to lead platform, SRE, and GPU orchestration efforts to scale secure, cost-efficient cloud infrastructure for its healthcare LLM.
Help shape GPU-accelerated inference and AI infrastructure as a Spring intern working on CUDA, models, and scalable training/inference systems in San Francisco.
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