
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 May 14
🏄 California – Remote
💵 $272k - $431.3k / year
⏰ Full Time
🟠 Senior
🖥 Software Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Lead and grow a team that is passionate about agentic systems and OpenShell runtime capabilities. • Define the team's technical strategy, research agenda, and product-facing priorities in partnership with engineering, product, development, research, solutions, and developer-facing teams. • Track major developments in agent research, internal NVIDIA work, publicly available projects, and industry systems, then help the team identify which ideas matter for OpenShell. • Guide the team in reproducing, adapting, benchmarking, and productizing promising research methods. • Ensure the team develops high-quality POCs, evaluation harnesses, red-team workflows, reference implementations, and product-ready solutions. • Build operating rhythms for research review, prioritization, technical decision-making, experimentation, and roadmap influence. • Partner with product and engineering leaders to move validated ideas into shipped OpenShell capabilities. • Contribute to outlining what secure, scalable, production-quality agent runtime infrastructure entails for enterprise builders. • Mentor team members on independent technical investigation, communication, engineering rigor, product sense, and cross-functional collaboration. • Hire, mentor, and develop a team with strong research engineering instincts and a bias toward shipping.
• MS or PhD in Computer Science, Physics, or a related technical field, or equivalent experience. • 8+ overall years of relevant software development experience. • 4+ years of leadership and management experience. • Experience leading research engineering, applied science, ML engineering, AI infrastructure, developer tooling, or advanced product engineering teams. • Strong technical judgment across LLMs, agentic systems, evaluation, runtime infrastructure, inference systems, or AI safety/security. • Track record turning research or emerging technical methods into products, platforms, tools, benchmarks, or production systems at scale. • Ability to set a clear technical direction in ambiguous, fast paced areas. • Strong product sense and ability to connect research opportunities to customer needs, developer workflows, and product strategy. • Experience mentoring engineers or researchers who operate across research, product, and production engineering boundaries. • Excellent communication skills, including the ability to synthesize complex technical topics and align collaborators around a clear point of view along with srong execution instincts: able to balance exploration with delivery, and ensure research work results in practical product impact.
• equity • benefits
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