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.
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 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
Currently tracking 440 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) for NVIDIA's Enterprise SWQA team, focusing on automation development, test and validation infrastructure, and utilizing AI tools to enhance testing capabilities for chip validation. | — | 5 |
| Senior Software Engineer, AI Networking Senior Software Engineer role focused on AI networking products, specifically BlueField DPU and ConnectX. The role involves architecting, designing, and developing hardware-accelerated software solutions, leading technical engagements with hyperscalers, and driving performance improvements. Requires deep knowledge of networking protocols, distributed systems, and low-level software expertise. | — | 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, experience with Linux, Kubernetes, and distributed systems. |
| — |
| 5 |
| Senior Revenue Data Analyst - Financial Reporting Senior Revenue Data Analyst role at NVIDIA, focusing on financial reporting support, data governance, and systems optimization. The role involves analyzing large datasets, designing data processing solutions in Python, and building reporting processes using SQL and AI tools. A key responsibility is developing a contextual AI agent to automate reconciliation and consistency checks for financial data. | — | 5 |
| Senior ASIC Front End Infrastructure Engineer NVIDIA is seeking experienced ASIC Infrastructure engineers to build and maintain the tooling and environment for GPU design. The role involves deploying AI toolsets, using ML/DL/AI for automation, improving build flows, managing CI systems, and forecasting compute resources. The engineer will focus on infrastructure improvement to enable hardware designers, with an emphasis on automation, scale, and performance. | — | 5 |
| Principal Performance and Manufacturing Architect This role focuses on architecting and validating performance and manufacturing processes for silicon products, with a secondary emphasis on applying AI to production engineering workflows. The primary goal is to ensure the connection between design intent and manufacturing reality, using first-principles models and rigorous validation to improve product yield and reliability at scale. While AI tools are mentioned as a way to stand out, the core of the role is in traditional silicon manufacturing and performance architecture. | — | 5 |
| 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 |
| 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 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 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 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 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| Senior Resiliency and Safety Architect NVIDIA is seeking a Senior Resiliency and Safety Architect to support the development of GPU and Tegra SoC hardware and software resiliency and safety features. The role involves architecting new features, optimizing hardware & software, modeling RAS and safety metrics, running simulations, developing diagnostics software, and ensuring compliance with functional safety standards like ISO 26262 and ASPICE. While the company is heavily involved in AI, this specific role focuses on the underlying hardware and software resiliency and safety, not direct AI model development. | — | 5 |
| Senior Accelerated Computing Architect This role focuses on optimizing the performance of NVIDIA GPUs for accelerated computing, scientific computing, machine learning, AI, datacenter, and automotive computing. The architect will analyze and optimize parallel algorithms, data structures, and reference codes, collaborate with hardware and software teams, and dive into accelerated computing applications for co-design. The role involves writing white papers and publications, and requires strong mathematical fundamentals, GPU programming experience (CUDA/OpenCL), and C/C++ proficiency. | — | 5 |
| Senior System Simulation Architect This role focuses on developing and integrating full-system functional models for CPU architectures, with a specific emphasis on enabling complex AI/DL and HPC workloads. The architect will work with simulation, emulation, and performance models to support the development of next-generation CPU products that are critical for NVIDIA's accelerated computing ecosystem. | — | 5 |
| Manager, Customer Solution Architect and Application Engineering Manager for Customer Solution Architecture and Application Engineering at NVIDIA, focusing on enabling next-generation Embedded products and system solutions for AI, deep learning, and advanced computing markets. The role involves leading a team to collaborate with customers and internal hardware design, firmware, software, and AI algorithm teams to integrate NVIDIA's Embedded solutions into customer products, define system-level requirements, and optimize performance. | — | 5 |
| Senior System Software Engineer - Software Development Kit Senior System Software Engineer role at NVIDIA focusing on the Tegra Solutions Engineering team for the DRIVE self-driving platform. The role involves developing, validating, and optimizing software for camera, multimedia, and graphics components on embedded automotive platforms. Requires strong C/C++/Python skills, experience with embedded systems, imaging/graphics pipelines, and customer interaction. Experience with GPU computing, computer vision, CUDA, and TensorRT are preferred. | — | 5 |
| Senior Software Engineer, At Scale Compute Analysis This role involves analyzing large-scale datacenter workloads on GPU-accelerated clusters, turning telemetry and workload data into findings and visuals. It requires partnering with various engineering teams and applying ML/DL techniques for categorization and forecasting, integrating these into tools the team uses. The role emphasizes analyzing complex datasets, debugging data issues, communicating trends, and building practical visualizations and lightweight ML/DL implementations within existing workflows. | Data | 5 |
| Senior Firmware Engineer - LPU Senior Firmware Engineer to develop low-level firmware for NVIDIA's AI-accelerator hardware, focusing on bootloader, drivers, RTOS, and system services. Responsibilities include design, implementation, optimization, debugging, and collaboration with AI teams. | — | 5 |
| Senior Software Systems Engineer - Autonomous Vehicles Senior Software Systems Engineer for NVIDIA's Autonomous Vehicles team, focusing on developing and productizing SAE Level 2-4 driver assistance and self-driving technologies. The role involves architecting solutions, characterizing vehicle interactions for system training, driving verification activities, and analyzing data to inform design decisions. Requires strong systems engineering, robotics, or integration experience, with a preference for AI tooling and automotive standards. | ShipData | 5 |
| Senior Software Architect - Data Center Systems NVIDIA is seeking a Senior Software Architect to lead software activities for their deep learning server platforms, focusing on system architecture, design, and collaboration with various engineering teams and customers. The role requires deep expertise in server system design, particularly at the SW/HW interface, and an understanding of Deep Learning workloads. | — | 5 |
| Senior Software Engineer, NCCL and CUDA - CSP Engagements Senior Software Engineer specializing in NCCL and CUDA for ML software stack functionality and performance in datacenter products. Focuses on customer engagements, root cause analysis, performance optimization, and debugging of libraries and system software for large-scale deployments, particularly for deep learning workloads. | — | 5 |
| Power Methodology and Modeling Engineer - New College Grad 2026 This role focuses on energy modeling for NVIDIA's next-generation GPUs, CPUs, and Tegra SoCs. The engineer will develop and implement tools and methodologies for data generation, sanitization, and integration with performance tools. They will also experiment with ML techniques to inform design decisions and improve power efficiency, working closely with various engineering teams. While ML is used, the core craft is not building ML models but applying them to power and energy analysis in chip design. | — | 5 |
| Senior Physical Design Methodology Engineer, PPA Fusion Compiler Senior Physical Design Methodology Engineer focused on developing and implementing ML-based solutions to improve Power, Performance, and Area (PPA) for graphics processors and SOCs. This role involves developing efficient physical design methodologies, formulating ML-based solutions, and participating in the full chip design flow. | Serve | 5 |
| Senior Software Engineer, Cloud-Native Stack – CSP Engagements Senior Software Engineer role focused on the cloud-native stack for AI/ML datacenters, involving deep-dive debugging of multi-rack, multi-tenant clusters, prototyping feature extensions for Kubernetes and Slurm, and collaborating with customers and internal teams. Requires strong expertise in Kubernetes and Slurm internals, experience with next-gen GPUs, and a background in customer-facing engineering. | — | 5 |
| Senior Performance Verification Engineer Senior Performance Verification Engineer at NVIDIA, focusing on CPU performance analysis, correlation, and developing verification infrastructure. The role involves technical leadership, micro-architectural understanding, and scripting skills, with a focus on performance bottlenecks across various product lines including AI. | — | 5 |
| Senior Platform Telemetry Engineer NVIDIA is seeking a Senior Platform Telemetry Engineer to drive next-generation fleet management solutions for scaling AI infrastructure using GPUs. The role involves designing architecture for fleet health monitoring and fault-remediation, working with customers and product management, and ensuring end-to-end delivery of product features. This position requires strong coding experience in C/C++ and Python, knowledge of time series databases and telemetry visualization tools, and a proven record of solutions for scalability. | — | 5 |
| Principal Platform Software Engineer - RAS NVIDIA is seeking a Principal Platform Software Engineer to design and drive next-generation fleet management solutions for scaling AI infrastructure using GPUs and Grace superchips. The role involves architecture, implementation, testing, and customer education for fleet health monitoring and fault remediation at scale. | — | 5 |
| Senior System Software Engineer - GPU Performance Senior System Software Engineer focused on GPU performance for communication libraries (NCCL, NVSHMEM, UCX) in Deep Learning and HPC applications. Involves performance characterization, analysis, root-cause analysis of performance issues, and building tools for data visualization on large multi-GPU/multi-node clusters. Requires experience with parallel programming, communication runtimes, and systems software fundamentals. | — | 5 |
| Manager, Distinguished Engineer - DGX Systems Software Manager, Distinguished Engineer for DGX Systems Software at NVIDIA, responsible for the end-to-end delivery of DGX compute systems, ensuring seamless integration of firmware, OS, drivers, CUDA, networking, and AI applications. The role involves leading firmware development, defining validation strategies, driving platform bring-up and architecture, and managing the complete product delivery lifecycle for next-generation platforms. | — | 5 |
| Senior Linux Kernel Systems Software Engineer – CSP Engagements Senior Software Engineer role focused on system software for Datacenter products (GB200), involving Linux kernel development, device drivers, and system optimizations. The role requires deep expertise in data center server architectures, HPC and AI/ML workloads, and hardware-software co-design, with customer-facing responsibilities to enable cloud service providers. It involves advanced system debugging and performance optimization. | — | 5 |
| Senior HPC Architect, Automation and At-Scale Deployment The Senior HPC Architect will support the deployment and bring-up of large-scale GPU compute clusters, enabling AI and GPU computing breakthroughs. This role involves providing engineering solutions for GPU Computing products and software stacks, acting as an internal reference for system administration and large-scale GPU-accelerated systems, and working with scientific researchers and developers to craft workflows and solutions. | Serve | 5 |