Jobs at NVIDIA

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.

Develop and execute systematic software test plans for NVIDIA graphics, compute, and SOC products. Write tests, analyze results, document defects, troubleshoot test issues, maintain QA processes, and collaborate with development engineers to resolve problems. The role focuses on system software quality assurance rather than web testing, requiring PC and system assembly knowledge, hardware architecture understanding, and strong communication skills.

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.

Develop and maintain DirectX graphics drivers for NVIDIA GPUs, develop graphics and AI-based rendering features, and build AI-agent automation for debugging, testing, triage, code analysis, documentation, and developer productivity. Collaborate across teams to deliver software objectives while improving quality and engineering workflows.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Lead design and development of NVIDIA GPU assembler and disassembler tools. Develop binary analysis and instrumentation capabilities, including call-graph generation, register-usage analysis, and GPU binary patching. Collaborate with architecture, debugger, profiler, and related engineering teams to deliver reliable code-generation features. Engage customers and partners to gather feedback and guide product improvements for HPC, deep learning, and autonomous-driving applications.

Lead SAP MM/PP master data architecture, governance, integration, automation, and lifecycle management for semiconductor supply chain and production data. Manage materials, BOMs, routings, production versions, and engineering change records; integrate SAP PLM with ERP; support planning systems, custom enhancements, data migration, and ECC-to-S/4HANA transformation. Partner with business and technical teams to deliver governed, scalable solutions and improve data quality through automation and AI-enabled platforms.

Leads complex technical programs across NVIDIA’s global e-commerce platform, including feature delivery, catalog management, product launches, agentic commerce, and regional expansion. Coordinates engineering, operations, product, campaign, and business teams; manages requirements, schedules, risks, metrics, and executive communications. Drives revenue growth, conversion optimization, shopper-journey improvements, platform scalability, and continuous improvement through automation, experimentation, and data-driven decisions.

Design, develop, and verify security and platform features for NVIDIA GPU controllers. Perform firmware and middleware security analysis, threat modeling, code reviews, fuzzing, static and dynamic analysis, and negative testing. Validate security through simulation, emulation, silicon bring-up, and production deployment. Collaborate with hardware, firmware, and system software teams while applying secure coding practices and AI-assisted development tools.

Design, implement, and debug kernel-mode software, GPU drivers, and embedded software for NVIDIA GPU and SoC products. Take next-generation hardware from development through production, including emulation, bring-up, performance and power optimization, and product hardening. Collaborate with hardware and software teams globally while solving complex system-level problems across datacenter, desktop, notebook, workstation, and gaming platforms.

Design, implement, debug, and optimize kernel-mode GPU and platform power-management software. Develop DVFS, power-state, residency, thermal, and performance features; bring up and harden kernel and firmware components across SoCs, PMUs, regulators, and operating systems. Support emulation, silicon validation, product hardening, and global collaboration across hardware, firmware, OS, and platform teams for next-generation NVIDIA processors.

Leads a distributed team responsible for power profiling, measurement infrastructure, regression monitoring, battery-life validation, and release qualification across NVIDIA platforms. Owns instrumented labs, device fleets, power analytics, automated regression farms, energy-compliance evidence, and cross-company methodology alignment. Drives power analysis from pre-silicon modeling through production, resolves power gaps with hardware and software teams, and provides qualification data for product release decisions.

Develop kernel-level system software for NVIDIA hardware across the chip lifecycle, from architecture and development through production. Collaborate with hardware and cross-functional teams to solve complex performance and power-efficiency problems involving PCIe and connected technologies. The role requires deep system software expertise, C proficiency, kernel debugging skills, and strong technical leadership. Experience with SoC silicon bring-up, AI-assisted development, and broad system-level architecture is advantageous.

Drives power, performance, and performance-per-watt analysis for SoC and Windows on ARM systems. Builds automated power measurement infrastructure, analyzes telemetry and firmware traces, optimizes low-power states and battery-life scenarios, and collaborates with hardware, firmware, OS, and driver teams from pre-silicon modeling through post-silicon validation. Develops visualizations and reports to identify regressions and recommend system optimizations.

Develop and maintain board support package components for SoC and GPU platforms, including bootloaders, device drivers, and kernels. Bring up new SoC and GPU architectures, solve product-level issues, and integrate BSPs with OEM platforms. Collaborate across hardware and software teams while contributing to operating-system-agnostic embedded solutions. The role requires expertise in embedded systems, SoC architecture, and BSP development, with UEFI and EC experience preferred.

Develop system software, tools, and infrastructure for validating and productizing next-generation graphics and computing processors. Collaborate with architecture, hardware, and driver teams; assess hardware features; create manufacturing diagnostics; and debug robust solutions using operating systems, algorithms, and computer architecture expertise.