NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 107 new AI-related roles. That is a -49% change versus the prior 30 days (211 → 107).
| Title | Stage | AI score |
|---|---|---|
| Senior Data Center Connectivity Engineer This role focuses on the physical infrastructure and connectivity for large-scale AI data centers, translating network designs into physical builds and optimizing cabling, pathways, and rack layouts for AI deployments. It involves co-designing with power, cooling, and software teams, and selecting hardware for AI training and inference clusters. | — | 5 |
| Senior Director, System Software Engineering - DGX Cloud Senior Director of System Software Engineering to lead strategy and execution for capacity management in DGX Cloud, building the capacity foundation for NVIDIA's internal AI research clusters. This role will shape the roadmap for scalable system software that automates GPU management at scale, drive execution across teams and functions, and partner closely with architecture, security, product, and developer platform leaders to deliver reliable, high-performance software that powers the next generation of accelerated computing. | — | 5 |
| Senior Software Engineer, Cloud Streaming - GeForce NOW Senior Software Engineer for NVIDIA's GeForce NOW Cloud Gaming service, focusing on building and optimizing AI-driven features, services, and workflows for both internal and consumer-facing applications, with a specific emphasis on pixel streaming and AI product integration, including video or audio AI models. |
| ShipServe |
| 5 |
| Systems Quality and Reliability Engineer - LPU This role focuses on systems quality and reliability engineering for NVIDIA's AI/ML products, involving RMA and FA debug, root-cause analysis, trend identification, and quality alert management. The engineer will oversee hardware quality performance, manage operational performance of FA at CMs, and oversee the setup of new products into Failure Analysis operations. While the role supports AI/ML products, the core function is in hardware quality and reliability, not direct AI/ML model development or deployment. | — | 5 |
| Senior SOC Design Engineer Senior SOC Design Engineer role focused on building complex GPU and SoC products, improving automation, quality, and scalability of design workflows. The role involves SoC integration, automation development, and applying AI thoughtfully to enhance engineering productivity. | — | 5 |
| Frontend Web Software Engineer, NGC Frontend Web Software Engineer responsible for building the foundational user experience for NVIDIA GPU Cloud (NGC), a unified platform for NVIDIA cloud-based products. The role involves developing web applications with React.js, focusing on secure, modern interfaces for enterprise customers, and applying AI tools to enhance development effectiveness and efficiency. | — | 5 |
| Senior Software Engineer - NVLink Rack Scale Stability and Reliability Senior Software Engineer focused on the stability and reliability of NVLink Rack-Scale Systems, which are critical for large-scale AI infrastructure. The role involves platform bringup, software validation, developing diagnostics and automation, leading reliability validation, and triaging complex issues across software, firmware, networking, and platform layers. Experience with large-scale AI systems and data center infrastructure is required. | — | 5 |
| Senior UX Designer, Cloud User Experience This role is for a Senior UX Designer focused on creating intuitive workflows and designs for NVIDIA's cloud products across gaming, AI, robotics, and scientific research. The designer will collaborate with teams to solve complex problems, prototype solutions, and drive user-centered experiences, leveraging AI-powered design tools. | — | 5 |
| Senior CPU Performance Architect Senior CPU Performance Architect role at NVIDIA, focusing on optimizing CPU performance for AI/DL, HPC, CSP, gaming, VR, and autonomous vehicles. Responsibilities include studying workloads, developing visualization and analysis tools, and identifying performance bottlenecks on complex systems. Requires 12+ years of experience, BS/MS in relevant fields, and familiarity with data visualization, Python, compiler concepts, and CPU microarchitecture. | — | 5 |
| Senior GPU Memory Architect NVIDIA is seeking a Senior GPU Memory Architect to optimize performance, area, complexity, and power on leading-edge silicon processes for GPU memory systems. The role involves developing architecture and micro-architecture, performance simulation, creating models, analyzing benchmarks, and defining architectural specifications. | — | 5 |
| Senior System Software Engineer - Autonomous Vehicles Senior Software Engineer for NVIDIA's Autonomous Vehicles division, focusing on the software foundation for AI-powered ADAS and safety features. The role involves adapting NVIDIA Drive software, triaging and diagnosing complex issues in safety-critical systems, collaborating with teams to find root causes and implement solutions, supporting function bring-up, assessing functional performance, debugging functions, ensuring end-to-end traceability, and coordinating fixes across international teams. Requires strong background in ADAS development and triage, proficiency in Linux/QNX, understanding of ADAS/AD functions, and systematic issue isolation skills. Experience with C++, Python, sensor-based automotive software, ADAS feature validation, SoC architectures, CUDA, TensorRT, GPU computing, and performance bottleneck identification are advantageous. | — | 5 |
| Senior System Software Engineer for Cloud – GeForce NOW Platform Senior System Software Engineer for NVIDIA's GeForce NOW Cloud Gaming service, focusing on designing, building, and scaling distributed cloud-based systems and Kubernetes infrastructure. The role involves influencing technology stack, driving automation, monitoring, and performance tuning for a high-performance SaaS/PaaS platform. | — | 5 |
| Senior ASIC Design Verification Engineer Senior ASIC Design Verification Engineer for NVIDIA's GPUs and SoCs, focusing on IP verification and developing AI frameworks for DV workflows. | — | 5 |
| System Software Engineer – Data Center GPU Compute Diagnostics System Software Engineer focused on diagnostics for Data Center GPUs in AI supercomputer systems. The role involves creating and executing applications to stress GPU components, working closely with hardware and software teams throughout the product lifecycle. Responsibilities include implementing CUDA/C++ diagnostic workloads, tuning GPU compute tests, and contributing to higher-level AI workload tests. | — | 5 |
| Post-Silicon Validation and Methodology Engineer This role focuses on post-silicon validation and methodology for next-generation silicon, including GPUs and SoCs. It involves owning bring-up, validation, qualification, tuning, and productization plans. A key aspect is building and deploying AI-assisted lab workflows to automate telemetry, evaluate measurement data, and provide anomaly detection for faster root-cause analysis. The role requires strong programming skills (Python, C/C++) and proficiency in using AI tools for validation tasks. | — | 5 |
| Senior Post Silicon Low Power Integration Engineer This role focuses on scaling low-power silicon validation and system bring-up for AI and accelerated computing platforms. It involves building intelligent automation, telemetry pipelines, and AI-powered analytics to improve validation coverage, expose power-state issues, and enhance debug workflows. The goal is to improve the power efficiency, stability, and production readiness of NVIDIA products. | — | 5 |
| Senior Power Integrity Co-Design Engineer NVIDIA is seeking a Senior Power Integrity Co-Design Engineer to architect and deliver di/dt mitigation across silicon, package, board, and platform. This role involves bridging architecture, silicon, and platform, translating product noise targets into shipped specs, and feeding silicon findings back into future designs. The role requires strong systems thinking, comfort with ambiguity, and the ability to apply AI as a force multiplier while maintaining rigorous engineering judgment. Responsibilities include defining and signing off on product-level voltage noise targets, architecting mitigation strategies across the full stack, co-designing noise features with various teams, building and leading Sim-to-Si correlation methodology, modeling and prototyping next-gen noise features, leading noise bug resolution during bringup, and driving architecture-level codesign tradeoffs. | — | 5 |
| Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to automate product definitions, data collection, test case execution, and results analysis. This role involves driving LPU&GPU diagnosis, qualifying equipment, and developing AI for production automation. The engineer will also assist with debug tools and product test setup. | Data | 5 |
| Senior CI/CD Engineer Senior CI/CD Engineer responsible for maintaining and improving software development infrastructure, applying AI-driven automation (LLM, VLM) to system and hardware validation, testing, and CI/CD workflows. | — | 5 |
| Senior Security Architect, Cloud Authentication and Authorization This role focuses on designing and implementing security architectures for authentication and authorization across cloud platforms, AI-enabled systems, and enterprise connectors. It involves defining processes for identity management, developing authorization frameworks for AI agents, and addressing emerging AI security risks. | Agent | 5 |
| Senior System Software Engineer - Graphics Senior System Software Engineer at NVIDIA focusing on DirectX Graphics Drivers, with a significant emphasis on exploring and building AI agents to automate engineering workflows like debugging, testing, and code analysis. The role involves developing AI-based post-processing features and fundamental software stacks for AI in graphics, and improving developer efficiency through AI. | Agent | 5 |
| Senior System Software Engineer – Data Center GPU Compute Diagnostics Senior System Software Engineer at NVIDIA focused on developing diagnostics and stress tests for Data Center GPU compute engines in AI supercomputer systems. The role involves low-level hardware interaction, performance tuning, and validation of next-generation GPUs, with a strong emphasis on CUDA, C++, and Python programming, as well as understanding of computer architecture and GPU memory systems. The engineer will also mentor other team members and collaborate with various hardware and manufacturing teams. | — | 5 |
| Senior System Software Engineer, Automotive Performance Senior System Software Engineer focused on optimizing NVIDIA's automotive performance platforms, including AI assistance in tool development and collaboration with ADAS/AV teams. Requires extensive systems/software performance experience, C/C++, Linux/QNX, and benchmarking. | — | 5 |
| Senior Software Engineer, DGX Cloud Production Engineering Senior Software Engineer role focused on building and operating large-scale GPU infrastructure for AI workloads using Kubernetes. Responsibilities include developing automation, tooling, and operational systems for cluster lifecycle management, reliability, and scalability. Requires strong programming skills (Python/Go), experience with Linux, Kubernetes, and distributed systems. | — | 5 |
| Senior Production Engineer - DGX Cloud NVIDIA is seeking experienced Senior Production Engineers to scale its AI Infrastructure, focusing on production systems for large GPU clusters used in AI workloads. The role involves implementing monitoring, health management, and ensuring reliability and scalability of GPU assets, working with various data streams and cross-functional teams. | Serve | 5 |
| Security Data Engineer This role focuses on building and operating the data platform that powers security operations across NVIDIA, transforming raw security telemetry into usable intelligence for detection, automation, and AI-driven security operations. | — | 5 |
| Senior Switch Software Researcher Research role focused on Ethernet Networks and Switch ASICs for high-performance ML/AI computing, involving research into switch-level capabilities, hardware/software tradeoffs, ML methods for network understanding and control, and building PoCs. The role also involves evaluating emerging protocols and collaborating with architects and advanced development teams. | — | 5 |
| Senior Security Architect Senior Security Architect role at NVIDIA focused on securing at-scale infrastructure, high-performance computing environments, and AI cluster systems. Responsibilities include designing, implementing, and evolving security systems, policies, and operational practices to protect critical infrastructure and intellectual property. The role involves identifying and assessing cybersecurity risks, developing incident response and disaster recovery plans, and ensuring systems meet various standards. Experience securing large-scale Linux infrastructure, risk management, incident response, and securing AI agents using sandboxing and AI-based threat detection are required. | — | 5 |
| Enterprise Product Engineer - Fullstack NVIDIA is seeking a Senior Fullstack Engineer to develop developer infrastructure with NVIDIA Brev, focusing on cloud tooling that simplifies GPU infrastructure access. The role involves designing and building fullstack features using React/Next.js and Go, owning product surface areas end-to-end, collaborating cross-functionally, and driving open-source contributions. Experience with Kubernetes, cloud infrastructure, SQL, and AI agents in production is required. | — | 5 |
| Director, System Software - AV Platform Director of System Software for NVIDIA's automotive platforms, leading development of foundational software technologies including OS, virtualization, middleware, drivers, and security. Requires strong technical depth, leadership in large-scale software organizations, and experience delivering complex embedded or distributed systems in production. Must have expertise in embedded Linux/RTOS, hypervisors, device drivers, or automotive middleware, and understand automotive standards like ISO 26262 and ASPICE. Experience with autonomous driving software and building scalable automotive compute platforms is a plus. | — | 5 |
| Senior Software Architect, AI Network Senior Software Architect role focused on defining architectural solutions for AI and HPC networking within the data center, involving hardware-accelerated data plane programming and software stack development for emerging networks. Requires strong C/C++ and networking experience. | — | 5 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to ensure the quality of CUDA products, including drivers and libraries. This role involves designing and implementing functional and performance tests, automating tests, triaging results, and developing scripts and tools. The ideal candidate will have a strong background in software testing, C++, Python, Linux/Windows, and experience using AI tools for test automation and bug fixing. | — | 5 |
| Infrastructure Automation Engineer - Silicon Co-Design Group NVIDIA is seeking an Infrastructure Automation Engineer to drive post-silicon validation automation integration and workflow visualization. The role involves designing and implementing productivity improvements, collaborating with cross-functional teams on system build and verification processes, and maintaining large-scale infrastructures. Requires 5+ years of software development experience, strong C++/Python skills, and hands-on AI/ML and data analysis experience. | — | 5 |
| Senior CI/CD Engineer Senior CI/CD Engineer responsible for maintaining and improving software development infrastructure, applying AI-driven automation (LLM, VLM) to system and hardware validation, testing, and CI/CD workflows. | — | 5 |
| Senior CUDA Test Development Software Engineer, SDET NVIDIA is seeking a Senior CUDA Test Development Software Engineer to ensure the quality of CUDA products, including drivers and libraries. The role involves designing and implementing functional and performance tests, automating tests, integrating them into infrastructure, triaging results, and developing tools to improve efficiency. Experience with AI development tools for test creation and automation is required. | — | 5 |
| Senior Circuit Methodology Engineer NVIDIA is seeking a Senior Circuit Methodology Engineer to lead the design, improvement, and evolution of in-house methodology applications for semiconductor design flows. This role involves developing new tools, enhancing existing ones, and promoting their adoption to improve tapeout schedules, design quality, and AI integration. The engineer will also prototype and deploy AI/ML capabilities into the tool ecosystem and establish guidelines for tool usage. | — | 5 |
| Senior Circuit Methodology Engineer Senior Circuit Methodology Engineer at NVIDIA, focusing on evaluating and integrating EDA tools for circuit design, with potential involvement in AI algorithms for workflow improvement. Requires Python/Perl programming, experience with Cadence/Synopsys systems, and transient simulators. | — | 5 |
| Senior Methodology Software Engineer This role focuses on software methodology for hardware design and debug, automating workflows, and using AI tools to improve data collection, querying, and analysis. The engineer will also design user interfaces, build data visualizations, and optimize large dataset processing. | — | 5 |
| Senior Methodology Software Engineer This role focuses on software methodology for hardware design and debug, automating workflows, and using AI tools to improve data collection, querying, and analysis. The engineer will also design user interfaces, build data visualizations, and optimize large dataset processing. | — | 5 |
| Senior System Software Engineer - DevOps and Infrastructure Automation Senior System Software Engineer on NVIDIA's AI Inference Operations Team, focusing on DevOps and Infrastructure Automation. The role involves designing, building, and operating the infrastructure backbone for AI inference products, managing Kubernetes deployments, architecting CI/CD pipelines, building observability, managing cloud/on-prem environments with IaC, and owning the security posture. Requires strong Kubernetes, CI/CD, IaC, and distributed systems experience. | — | 5 |
| System Software Engineer - GPU System Software Engineer at NVIDIA focused on developing low-level GPU testing frameworks for next-generation computing and graphics products. The role involves close collaboration with hardware and driver teams, crafting software tools for validation and productization, and architecting diagnostic tests. While the core role is system software engineering, it emphasizes the application of AI/ML techniques to enhance validation efficiency and test creation, and the use of AI-assisted development tools. | — | 5 |
| Senior Software Engineer, Distributed Systems Engineer - DGX Cloud Senior Software Engineer role focused on scaling NVIDIA's AI Infrastructure, specifically DGX Cloud. The role involves working with Kubernetes, custom software for scheduling GPU resources, and implementing monitoring for reliability and scalability of GPU assets for AI workloads. Requires strong software engineering experience with Kubernetes and distributed systems. | Serve | 5 |
| Capacity Operations and Analytics Manager NVIDIA is seeking a Capacity Operations and Analytics Manager to optimize GPU and compute resource utilization across cloud providers. The role involves building data models, reporting systems, and dashboards to support capacity decisions, analyzing technical and business needs, identifying performance bottlenecks, and driving infrastructure resource efficiency. The manager will also develop tooling for cloud infrastructure and analytics, potentially leveraging AI techniques for insights, and partner with various teams to align capacity management with company goals. A strong background in cloud computing, GPU capacity management, data analytics, and statistical modeling is required, with experience in leveraging AI tools for resource optimization being a plus. | — | 5 |
| Senior HPC Performance Engineer NVIDIA is seeking a Senior HPC Performance Engineer to analyze and optimize the performance of their GPU communication libraries, which are critical for scaling Deep Learning and HPC applications. The role involves in-depth performance characterization, root-cause analysis of performance issues, and collaboration with cross-functional teams on large multi-GPU and multi-node clusters. | — | 5 |
| Data Center Engineering and Operations EHS Engineer This role is for an Environmental Health and Safety (EHS) Engineer in a Data Center Engineering and Operations team. The primary focus is ensuring compliance with EHS regulations and company programs within data centers and laboratories, including those used for AI factories. The role involves risk assessment, safety guidance, coordinating with various teams and vendors, conducting inspections, waste management, and training staff on health and safety requirements. A secondary aspect involves leveraging AI experience to integrate autonomous solutions into documentation processes to improve team performance. | — | 5 |
| Circuit Design Engineer NVIDIA is seeking a Circuit Design Engineer to craft and validate groundbreaking IPs for their CPU, GPU, and Networking chips. The role involves architecting innovative circuit solutions, improving power, performance, and security, and working with large datasets using AI/ML tools. The engineer will also mentor junior team members and collaborate with global teams. | — | 5 |
| Power Architect - New College Grad 2026 This role focuses on architecting GPU power features and system-level power management solutions, including researching and developing solutions for energy efficiency problems in various GPU use cases. It also involves deploying machine learning techniques to create accurate power and performance models for GPUs and platforms. | Data | 5 |
| Manager, Agentic Software Development and Test Infrastructure Manager for software development and test infrastructure teams focused on AI agents, aiming to reinvent software development at scale for multi-cloud and heterogeneous environments. | — | 5 |
| ASIC Design and STA Engineer NVIDIA is seeking an ASIC STA Engineer to join their Networking Silicon engineering team. The role involves full chip and/or chiplet level STA convergence, clock planning, optimizing signoff flows, and timing integration. The ideal candidate will have 3+ years of experience in physical design and STA, familiarity with EDA tools, and hands-on experience with Synopsis Primetime. | — | 5 |
| Senior Software Engineer, Distributed Systems Engineer - DGX Cloud NVIDIA is seeking a Senior Software Engineer to scale its AI Infrastructure, focusing on production systems for large GPU clusters used in AI workloads. The role involves designing and developing distributed platforms for identifying, diagnosing, and remediating non-performant GPU assets, ensuring reliable and performant AI cluster operations. | Serve | 5 |