Jobs at NVIDIA

Designs, builds, and operates scalable AI infrastructure for LLM applications and autonomous agents. Develops agentic workflows, multi-agent systems, RAG pipelines, APIs, and inference integrations. Deploys GPU-enabled workloads using Docker and Kubernetes, maintains CI/CD and observability, and provides L3 production support, troubleshooting, root-cause analysis, and performance optimization.

Manage SAP Global Trade Services operations, including sanctions screening, export and import license blocks, embargo controls, master data, product classification, regional regulations, audits, and U.S. export system integration. Support APAC operations and develop analytics reports while collaborating with Legal, Sales, Logistics, Finance, Engineering, and IT teams to maintain global trade compliance.

Design, develop, and optimize real-time computer vision and vision-language model inference microservices and libraries. Build video ingestion, preprocessing, model serving, integration, and regression testing capabilities. Profile latency, throughput, GPU memory, concurrency, and model accuracy across platforms. Collaborate with engineering and product teams to deliver milestones and own component readiness through release and post-release debugging.

Support and develop large-scale OpenStack cloud infrastructure across multi-site deployments. Troubleshoot OpenStack services, PXE provisioning, networking, distributed systems, and third-party dependencies. Collaborate with SRE, platform, software, data center, and product teams to improve deployment quality, reliability, and time to market. Contribute Python and automation code while monitoring, investigating KPIs, resolving incidents, and supporting NVIDIA’s global engineering infrastructure.

Develop and maintain production-quality GPU and display kernel-mode drivers, embedded firmware, and system software for Linux and Android. Implement HDCP and other display-content-protection features, debug hardware-software interoperability issues, and build automated tests and diagnostic tools. The role requires strong C programming, operating-system and concurrency knowledge, low-level debugging, and collaboration with hardware, firmware, security, and external partner teams.

Own SAP Order-to-Cash solutions, including requirements gathering, configuration, integrations, documentation, roadmaps, UAT, and release coordination. Serve as the liaison between IT and business users while supporting SAP SD processes such as sales, returns, delivery, billing, pricing, master data, EDI, intercompany transactions, and revenue recognition. Collaborate with developers and offshore teams on enterprise-scale implementations and integrations.

Design, develop, test, debug, and optimize GPU firmware and boot software in resource-constrained environments. Collaborate with hardware, software, OS, and PC vendors to improve GPU startup, security, manageability, and control-plane interfaces. Enhance build systems, regression infrastructure, and firmware security, including root-of-trust capabilities, cryptography, authentication, attestation, and vulnerability mitigation.

Lead major incident response and set technical direction for site reliability engineering across NVIDIA’s enterprise platforms. Design and operate distributed, Kubernetes-based cloud infrastructure; build automation, observability, self-healing systems, and AI-assisted incident tooling. Drive root cause analysis, SLOs, error budgets, and systemic reliability improvements. Partner with Cloud, Platform, Security, and AI/ML teams, mentor engineers, influence architecture, and communicate with executives during critical incidents.

Drive power, performance, and energy-efficiency analysis across SoC and Windows on ARM platforms. Build automated measurement infrastructure, parse telemetry, analyze firmware and OS metrics, and optimize low-power states, DVFS, and power management. Collaborate with hardware, BIOS, firmware, OS, and driver teams from pre-silicon modeling through post-silicon validation. Develop visualizations and reports to identify regressions and recommend system improvements.

Conduct applied research on large language and multimodal foundation models. Develop deep learning methods for software assistants, multilingual and multimodal dialogue systems, and downstream adaptation. Curate datasets for large-scale training and human preference learning, prototype research ideas, and collaborate with product and hardware architecture teams to integrate innovations into NVIDIA products.

Own and advance NVIDIA’s identity governance and access management platforms as part of its Zero Trust strategy. Responsibilities include administering Active Directory, Entra ID, and SailPoint; implementing SSO, MFA, conditional access, and privileged access controls; managing identity lifecycle workflows and certifications; integrating enterprise applications; resolving vendor and platform issues; establishing engineering standards; mentoring teams; and applying AI tools for monitoring, anomaly detection, diagnostics, and self-service resolution.

Develop automated software tests, validation tools, and AI-agentic workflows for NVIDIA Tegra-based Android, Linux, and proprietary platforms. Validate multimedia streaming, 4K HDR playback, cloud and local gaming, graphics, audio-video synchronization, latency, and stability. Analyze failures, triage defects, review requirements, improve coverage, report quality metrics, and collaborate with hardware, software, architecture, product, and release teams.

Develop system software and infrastructure for deploying, benchmarking, and qualifying local AI workloads across Linux and Windows GPU systems. Build CI pipelines, model management services, databases, data pipelines, dashboards, telemetry, scheduling systems, and autonomous infrastructure agents. Collaborate with inference and application teams to improve reproducibility, diagnose system issues, detect regressions, and optimize performance.

Lead interaction design for NVIDIA gaming hardware, software, and services. Collaborate with researchers, engineers, product managers, visual designers, and cross-functional teams to create user-centered experiences. Develop journey maps, information architecture, prototypes, design specifications, visual and written assets, and design critiques. Use research data, metrics, business objectives, AI tools, and documentation tools to guide design direction.

Build and improve infrastructure supporting GPU firmware development, including build systems, regression farms, CI/CD pipelines, developer tools, test frameworks, web services, release pipelines, and observability. Debug issues across hardware, software, and processes; create AI-powered workflows; automate toil; and develop scalable internal tooling. Collaborate closely with hardware and software engineers while documenting requirements, designs, and trade-offs.

Supports SOX IT compliance by identifying risks, testing IT general and automated controls, documenting audit workpapers, evaluating deficiencies, and coordinating remediation. The role collaborates with process owners and external auditors, supports walkthroughs and testing, performs internal audit and AI automation projects, and maintains compliance documentation across SAP and third-party environments.

Lead the architecture and development of scalable full-stack Sales AI applications. Integrate generative AI models, retrieval systems, APIs, and agentic workflows into secure production solutions. Guide architecture across front-end, back-end, data, integrations, and cloud infrastructure while improving testing, delivery, observability, reliability, and maintainability. Lead technical decisions, investigate complex issues, mentor engineers, and collaborate with product, AI, data, security, and engineering teams.

Build and maintain system software and infrastructure for deploying, benchmarking, automating, and qualifying AI applications and models. Responsibilities include supporting inference backends, managing local model repositories, developing performance and correctness measurement systems, processing workload metrics, implementing diagnostics and observability, and maintaining automated build, integration, deployment, and qualification pipelines. The role also involves debugging system architectures, analyzing bottlenecks, and improving scalability across Linux and Windows environments.

Supports NVIDIA AI Enterprise customers across cloud and datacenter environments by troubleshooting complex software issues, developing Python automation and deployment tooling, creating diagnostics and reproducible tests, and collaborating with engineering on fixes. The role requires expertise in Linux, Kubernetes, containers, cloud platforms, GPU-accelerated AI stacks, and production deployments. Responsibilities include customer escalations, technical documentation, bug reports, root-cause analysis, and limited weekend on-call support.

Provides Tier 3 technical support for networking products in data center, AI, storage, and HPC environments. Installs systems, troubleshoots complex network issues, develops customer solutions, manages complex installations, and handles problem resolution. The role requires expertise in routing, switching, virtualization, Linux, scripting, Ansible, and major network vendors. It also involves customer communication, site visits, process improvement, and collaboration with Engineering, Marketing, Support, customers, and partners.