"nvidia gpu" Jobs
143 open tech roles matching “nvidia gpu”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 143 results
Join IonQ as a Senior HPC Cluster Engineer to design and maintain high-performance computing systems for quantum simulations.
Join Fireworks AI as a Member of Technical Staff to enhance model evaluation and fine-tuning workflows in a fast-paced generative AI environment.
Join Picogrid as the first Site Reliability Engineer to enhance production reliability across cloud and edge environments.
Join Fireworks AI as a Security Engineer to design and implement security controls across AI infrastructure and platforms.
Own the product roadmap for platform integrations at Twelve Labs, driving partnerships with major cloud providers and data platforms.
Join Applied Intuition as a Senior Software Engineer to design and implement ML infrastructure for deep learning model training.
Lead OSP infrastructure design and deployment for modular AI infrastructure in a fully remote role.
Drive adoption of Fireworks AI within ambitious GenAI startups, engaging with technical teams to create value.
Lead the Infrastructure Compute Procurement function at Anthropic, managing a multi-billion dollar procurement portfolio.
Join Applied Intuition as a Software Engineer to develop autonomous software for embedded systems in a fast-growing team.
Join Synthesia as a Principal Engineer to enhance ML platform reliability and scalability in a hands-on role.
Join CoreWeave as a Senior Specialist Field Engineer to lead innovation in AI cloud infrastructure and networking technologies.
Join Together AI as a Research Engineer to optimize large-scale training infrastructure for cutting-edge AI models.
Lead a team to develop and execute strategic business plans across Armada's public sector partner ecosystem in a fully remote role.
Join Synthesia as an ML Platform Engineer to enhance AI video platform reliability and scalability in a hands-on role.