Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
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).
| Title | Stage | AI score |
|---|---|---|
| Senior Deep Learning Algorithms Engineer - BioNeMo Senior Deep Learning Algorithms Engineer at NVIDIA to optimize biology and structural biology models (LLMs, VLMs) for inference performance on GPUs using TensorRT-LLM and related stacks. Focus on low-latency, high-throughput inference, quantization, custom GPU kernels, and production deployment. | ServePost-train | 9 |
| AI Safety Scientist, Deep Learning Research Scientist focused on AI safety for multilingual, multimodal LLMs, including content safety, ML fairness, bias detection, and hallucination mitigation. The role involves developing datasets, moderator models, and training techniques (SFT, RL), and contributing to safety tools. | Post-train |
| 9 |
| Senior Deep Learning Algorithm Engineer Senior Deep Learning Algorithm Engineer at NVIDIA focused on optimizing deep learning training and inference workloads on state-of-the-art hardware and software platforms. The role involves performance analysis, profiling, and implementation of production-quality software, with a focus on squeezing performance from hardware and software stacks. | ServePost-train | 9 |
| Senior Product Engineer, Agentic AI Product leader and builder to define and drive Agentic AI products and platforms, bridging product vision with deep technical execution. Focus on translating early-stage innovations into scalable, production-ready systems for agentic AI workflows. | Agent | 8 |
| Senior Deep Learning Scientist, Speech Synthesis NVIDIA is seeking a Senior Deep Learning Scientist to work on their Speech AI product, Riva. The role involves training speech synthesis models (mel-spectrogram and vocoder), measuring and analyzing model performance, maintaining the TTS evaluation system, and improving speech data processing and training set preparation. The ideal candidate has a Master's or PhD, 5+ years of ML/AI experience, strong Python and PyTorch skills, and hands-on experience training speech synthesis models. | DataPost-train | 8 |
| Deep Learning Algorithms Engineer - ACOT NVIDIA is looking for an AI Acceleration & Optimization Engineer to optimize the performance, scalability, and efficiency of AI models (LLMs, VLMs, diffusion, multimodal) on NVIDIA GPU platforms. The role involves profiling, identifying bottlenecks, and applying optimization techniques like quantization and kernel fusion, using tools such as CUDA, TensorRT, and Nsight. Collaboration with various teams (algorithms, systems, hardware, research, CUDA, compiler, frameworks) is key to bringing models from research to production. | ServePost-train | 8 |
| Software Engineer, Metropolis Vision AI Software Engineer for NVIDIA's Metropolis Vision AI team, focusing on building and optimizing large-scale distributed Vision AI platforms for real-time and streaming scenarios. The role involves implementing high-performance pipelines, developing distributed services for video/image/3D data processing, enhancing multi-modal perception, using simulation/synthetic data, and profiling GPU-accelerated inference. Requires strong C++/Python, Linux, computer vision, deep learning, and distributed systems experience, with practical experience in PyTorch for training and deployment. | ServeData | 8 |
| Senior Deep Learning Engineer - AI for Wireless Systems NVIDIA is seeking a Senior Deep Learning Engineer to develop AI-native wireless networks, integrating deep learning into signal processing and radio access technologies. The role involves designing, prototyping, implementing, training, and optimizing deep learning models for real-time inference and deployment on GPU platforms, collaborating with researchers and system engineers. | ServePost-train | 8 |
| Engineering Manager - AI for RAN and 6G Wireless Systems NVIDIA is seeking an Engineering Manager to lead a team developing AI/ML models for 6G wireless networks. The role involves guiding model development, training, evaluation, and deployment, with a focus on integrating deep learning into signal processing and radio access technologies. Experience with Python, PyTorch/TensorFlow, and leading engineering teams is required. | ServePost-train | 8 |
| Director, Engineering – Software Engineering and AI Inferencing Platforms NVIDIA is seeking an Engineering Director to lead and scale software engineering teams in Vietnam, focusing on AI Inferencing Platforms and AI data/factory initiatives. The role involves driving the design, architecture, and delivery of high-performance system software platforms, collaborating with global teams, and overseeing the development and optimization of AI delivery platforms like NIMs and Blueprints. Experience with cloud, data, accelerated computing, and managing large AI/ML product teams is required. | ServeData | 8 |
| NBU Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to design tools for product definition, data collection, test case execution, and results analysis. The role involves driving NBU diagnosis, analyzing test issues, qualifying equipment, and automating NBU product testing using AI and machine learning techniques. The engineer will also provide feedback on debug tools and support NBU product test setup. | Serve | 7 |
| Senior System Software Engineer - AI Data Platform - Inference Factory Optimization Senior Software Engineer focused on building and optimizing infrastructure for automating the deployment and performance tuning of NVIDIA's AI software offerings, impacting inference applications across various hardware. | Serve | 7 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts for test automation, designing and developing tools for the QA team, and developing integration tests. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Eval Gate | 7 |
| Tegra Manufacturing Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to automate product definitions, data collection, test case execution, and results analysis. The role involves driving Tegra diagnosis, analyzing test issues, qualifying equipment, and developing AI for production automation. The engineer will also assist with debug tools and follow up on test setup issues. | Serve | 5 |
| Software Development Engineer in Test - SDET Software Development Engineer in Test (SDET) at NVIDIA, focusing on testing AI development tools, model testing, and LLM benchmarking. Responsibilities include test planning, execution, automation, and bug management. Requires proficiency in Unix/Linux, Python, API/UI automation, and experience with AI tools and LLM benchmarking. | Eval Gate | 5 |
| Senior Software Development Engineer in Test - SDET Senior Software Development Engineer in Test (SDET) at NVIDIA, responsible for test planning, execution, automation, and bug lifecycle management. The role requires experience with AI development tools, model testing, and LLM benchmarking, with a focus on ensuring product quality. | Eval Gate | 5 |
| SWQA Development Engineer Software QA Development Engineer at NVIDIA responsible for test planning, execution, and reporting, including script automation, tool development, and integration testing to improve productivity and optimize test plans. Focuses on identifying weak spots and designing creative test plans to ensure product quality. | Eval Gate | 5 |
| SWQA Test Developer Engineer, SDET Software QA Test Developer Engineer at NVIDIA responsible for test planning, execution, and reporting, including writing scripts to automate testing, designing and developing tools for the QA team, and developing integration tests for validation. The role requires experience with AI development tools, model testing, and LLM benchmarking. | Ship | 5 |
| Ecosystem Developer Relationships Manager This role focuses on building and leading strategic partnerships within the ISV ecosystem to drive the adoption of NVIDIA's AI software offerings, particularly in the public sector across Southeast Asia. The individual will need to understand Gen AI workflows and LLM breakthroughs, foster co-innovation, identify adoption blockers, and drive early adoption of new NVIDIA software products. The goal is to accelerate sales cycles and GPU consumption by connecting partners with government opportunities. | — | 5 |
| Factory Planner, Inventory Control This role focuses on inventory control and accuracy within a manufacturing environment, leveraging data, automation, and AI tools to improve processes. The primary responsibilities include ensuring inventory accuracy, leading reconciliations, managing data interfaces, and driving digitalization initiatives. The role requires experience with SAP, EDI, and working with contract manufacturers, with a preference for candidates who have used AI or automation to enhance productivity. | — | 5 |
| Factory Planner NVIDIA is seeking a Factory Planner to manage supply chain operations, translating demand into executable factory plans. This role involves balancing materials, capacity, and manufacturing readiness with contract manufacturing partners and cross-functional teams. The position requires leveraging AI-enabled, analytics, and automation tools to enhance productivity, decision quality, and responsiveness in a dynamic manufacturing environment. | — | 5 |
| Senior System Software Engineer, AI Data Platform Senior Software Engineer role focused on building and optimizing foundational infrastructure for NVIDIA's AI and high-performance computing innovations. The role involves designing, building, and optimizing scalable automation systems for the performance, tuning, and deployment of core software offerings, impacting AI models and complex applications across various environments. | Serve | 5 |
| Senior SWQA Test Developer Engineer, SDET Senior Software QA Test Developer Engineer at NVIDIA responsible for test planning, execution, and reporting, automating testing, and designing/developing tools for the QA team. The role involves identifying weak spots, creating test plans, and ensuring product quality, with a focus on AI development tools, model testing, and LLM benchmarking. | Eval Gate | 5 |
| ICT Test Engineer NVIDIA is seeking a Manufacturing Test Engineer to support the production line by identifying and addressing ICT fixture problems, maintaining and optimizing ICT test programs, analyzing production defects, troubleshooting ICT test failures, supporting new product introduction, monitoring CM ICT test fixtures, and tracking test yield rate and production capacity. The role requires 5+ years of experience in ICT programming and fixture debugging, knowledge of TRI and Teradyne ICT machines, and understanding of analog and digital circuits. | — | 0 |
| Mechanical On-Site Engineer, Foxconn Vietnam Mechanical On-Site Engineer representing NVIDIA Israel's mechanical department at a Foxconn manufacturing site in Vietnam. This role involves being the technical reference for mechanical issues on the production floor, from early builds through mass production, working closely with Foxconn teams and bridging to NVIDIA's design and reliability teams. Responsibilities include investigating mechanical issues, leading failure analysis, planning and running experiments, and making real-time decisions on the line. Requires 4+ years of hands-on mechanical engineering experience in datacom, server, or networking hardware, with experience at a contract manufacturer and a track record in failure analysis. | — | 0 |
| Senior Mass Production Infrastructure Manufacture Engineer NVIDIA is seeking a Senior Mass Production Infrastructure Manufacture Engineer to manage the end-to-end supply chain of production infrastructures, from NPI review to mass production delivery. This role involves coordinating capacity management, risk assessment, infrastructure establishment, maintenance, budgeting, and process improvements, serving as the primary contact for multiple production sites. | — | 0 |
| Senior Product Engineer - Board Products Senior Product Engineer for NVIDIA's board products, focusing on product development, NPI/MP, yield management, and manufacturing support across global CM sites. Requires hardware/software engineering experience and cross-functional collaboration. | — | 0 |
| Senior Supplier Quality Engineer NVIDIA is seeking a Senior Supplier Quality Engineer to ensure contracted electronic manufacturers meet rigorous quality standards for their products. The role involves collaborating with manufacturers, conducting audits, developing quality control plans, resolving supplier issues, leading root cause analysis, and ensuring compliance with industry and regulatory requirements. Requires a Bachelor's or Master's degree in a related engineering field, minimum 5 years of experience in supplier quality, strong communication skills in English and Vietnamese, and knowledge of manufacturing processes and quality assurance methodologies. | — | 0 |
| Manager, Board Product Engineering - Ops Manager for Board Product Engineering focusing on NPI, system and board failure analysis, yield improvement, and issue resolution for data center or server system products. | — | 0 |
| Memory Solution Engineer Product Engineer at NVIDIA responsible for engineering solutions for alternative electrical component qualification to resolve material shortages in Gaming, Professional Visualization, and Computing board products. This involves defining qualification plans, completing tests, and supporting product engineering and supply chain. | — | 0 |
| Senior Mass Production Infrastructure Manufacture Engineer NVIDIA is seeking a Senior Mass Production Infrastructure Manufacture Engineer to manage the end-to-end supply chain of production infrastructures, from NPI to Mass Production delivery. This role involves coordinating capacity management, risk assessment, infrastructure establishment, maintenance, budgeting, and process improvements, serving as the primary contact for production sites. | — | 0 |
| Senior Software Engineer, SPE Senior Software Engineer role focused on designing and developing automated tests for NVIDIA's networking switches and adapters. The role involves working closely with HW, ASIC, and SW teams to ensure product quality, reliability, and high coverage throughout the development and production lifecycle. Responsibilities include bug fixing, supporting production lines, and optimizing testing procedures. | — | 0 |
| Senior Product Engineer - Board Products Senior Product Engineer for NVIDIA's board products, focusing on product development, yield management, manufacturing processes, and issue resolution across global manufacturing sites. Requires experience in server/board product development or backend manufacturing, with a strong hardware/software engineering background. | — | 0 |
| Local Product Engineer NVIDIA is seeking a Local Product Engineer to provide onsite support for test validation, test infrastructures, and station troubleshooting in a factory environment. The role involves monitoring production status, conducting test debugging and failure analysis, and analyzing NPI project yields. The ideal candidate will have a B.S. in Electrical Engineering or equivalent experience in factory failure analysis, with at least 5 years of experience in failure analysis using various tools, and proficiency in hardware problem diagnostics and repair. | — | 0 |
| Manufacturing Development Engineer NVIDIA is seeking a Manufacturing Development Engineer in Hanoi, Vietnam, to focus on New Product Introduction (NPI) mechanical assembly readiness. The role involves driving Design for Assembly (DFA) development, finding Manufacturing for Design (MFD) solutions, and implementing industry standards with hardware engineering teams and Contract Manufacturing Engineers (CEMs). Responsibilities include detailed DFA analysis, developing mechanical assembly processes, fixture and automation development, leading fixture and jig development, evaluating assembly processes, managing CEM readiness, handling NPI manufacturing assembly issues, recommending technology aids, analyzing automation, and managing project schedules and budgets. | — | 0 |
| Senior Product Engineer Senior Product Engineer role focused on board-level product manufacturing, root cause analysis of issues, and implementing corrective actions for consumer or enterprise products at NVIDIA. | — | 0 |
| Senior Test Engineer NVIDIA is seeking a Senior Test Engineer to design and develop automated tests for networking switches and adapters, ensuring product quality and high availability. This role involves close collaboration with HW, ASIC, and SW Engineering teams, implementing and maintaining sophisticated tools to improve development workflows and productivity. Responsibilities include test design, debugging, bug fixing, supporting production lines, and generating quality statistics. | — | 0 |
| Manufacturing Test Engineer, Tesla | — | — |
| Manufacturing Test Engineer, GPU | — | — |
| SXM Manufacturing Test Engineer | — | — |
| AI Researcher, TAO Multi-Modal Model Development | — | — |