Jobs at NVIDIA

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.

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.

Evaluates customer creditworthiness, recommends credit limits and payment terms, releases orders from credit hold, manages credit insurance and guarantee documentation, monitors payment trends and overdue accounts, and partners with finance and sales teams to mitigate credit risk. The role requires advanced financial analysis, complex transaction experience, strong risk management, and process improvement capabilities.

Drive adoption of NVIDIA vision and video AI technologies across Southeast Asia. Design, validate, deploy, and scale VLM and world foundation model solutions for computer vision, document processing, and video analytics. Provide technical leadership, troubleshooting, customer workshops, demos, partner enablement, and technical reviews while translating customer needs into deployable architectures and product roadmap feedback.

Designs and validates large-scale AI and HPC infrastructure solutions for NVIDIA cloud partners and customers across Southeast Asia. Leads technical sales activities, develops proposals and bills of materials, conducts demonstrations and proof-of-concepts, delivers training, supports solution delivery, and collaborates with engineering, product, ecosystem, and professional services teams. Requires expertise in data center infrastructure, networking, Linux systems management, performance optimization, and customer-facing technical communication.

Lead execution and technical engagement with LPS and MEP partners to build and scale datacenter capacity for NVIDIA Cloud Partners. Drive AI factory tool adoption (DSX, NCX), resolve blockers, coordinate cross-functional teams, manage timelines, ensure delivery of customer features, and report program status to senior leadership.

Lead and grow strategic cloud and AI partner accounts across Southeast Asia. Develop account plans, onboard and validate partners, coordinate infrastructure deployment with technical teams, drive revenue and pipeline, and execute cross-functional initiatives to connect supply and AI demand.

Design, build, and operate NVIDIA's global backbone network: architect inter-DC connectivity, long-haul optical transport, and peering strategy; implement and troubleshoot optical through IP/MPLS stack; automate provisioning, capacity, monitoring, and failure detection for a large-scale, multi-continent backbone.

Support SLT NPI and production floor activities, develop and maintain automated test systems and thermal solutions, set up and troubleshoot test stations, run DOE and analyze manufacturing data to improve yield, collaborate with cross-functional teams and vendors, and leverage AI to automate testing and data analysis.

Conduct research and design efficient, GPU-accelerated generative AI models (LLMs, vision, robotics), publish at top conferences, mentor interns, collaborate across teams, and transition research into products.