Jobs at NVIDIA

Conduct research on efficient generative AI models for language, vision, and robotics. Design, optimize, and accelerate novel models; publish at leading conferences; collaborate with internal and external researchers; mentor interns; present at conferences; and transfer research into NVIDIA products.

Conduct fundamental and applied research for autonomous vehicles, developing AI, machine learning, safety, simulation, and closed-loop training techniques. Publish research, present findings, collaborate with internal product teams and external researchers, open-source technology, and transfer innovations into production autonomous vehicle systems.

Lead and expand NVIDIA sales accounts across Southeast Asia’s financial services industry. Develop account plans, grow revenue and pipeline, manage strategic partnerships, coordinate infrastructure deployments, and drive adoption of AI and GPU platforms. Serve as a trusted advisor to capital markets customers, including banks, traders, quants, developers, cloud partners, and ISVs. Lead cross-functional solution-selling engagements involving technical, product, legal, marketing, and engineering teams.

Lead complex NVIDIA Infrastructure Services customer engagements from planning through deployment, bring-up, support handover, and day-two readiness. Coordinate customers, sales, solution architects, delivery managers, OEMs, operations, and support teams. Provide executive updates, manage risks and blockers, align commercial commitments, and drive resolution of critical issues while maintaining strategic oversight rather than owning daily execution.

Lead customer-facing architecture and implementation of large-scale AI, HPC, and cloud infrastructure. Manage Kubernetes platforms, Linux systems, GPU clusters, automation, observability, and high-speed networking. Serve as technical lead for customer accounts, conduct architectural reviews, resolve infrastructure issues, optimize performance, and develop runbooks and onboarding materials. Advise customers and partners on DevOps, platform architecture, NVIDIA infrastructure, and post-deployment improvements.