NVIDIA seeks a Senior Storage Production Engineer to build and operate large-scale storage clusters supporting GPU cloud, HPC, and AI/ML workloads. Responsibilities include storage architecture design, monitoring and alerting, automation, capacity planning, performance optimization, data protection, and participating in on-call rotations. Requires 8+ years of relevant experience and expertise in distributed storage, storage networking protocols, Linux-based systems, programming for automation, and infrastructure-as-code and observability tools.

Hands-on senior individual contributor to create complex SRAM and memory macros (bitcell arrays, periphery, test structures) in advanced nodes (FinFET/GAA, 5nm/3nm+). Own full custom layout flow including floorplanning, power-grid design, routing, DRC/LVS/ERC/antenna closure using tools such as Cadence Virtuoso and Calibre/ICV. Requires 10+ years custom IC layout (including 5+ years in SRAM/memory), mentoring experience, and familiarity with EM/IR, DFM, layout-dependent effects, and layout automation (SKILL/Python).

Senior Developer Advocate Engineer responsible for owning technical engagements for Open Hackathons and Bootcamps in Physical AI & Robotics: build proof-of-concepts, create training materials, mentor teams using NVIDIA Omniverse/Isaac/Cosmos stacks, collaborate with product teams, assess hackathon infrastructure, and produce feedback reports. Requires Master's or equivalent and 12+ years of relevant enterprise experience. Base salary range stated: 200,000 USD - 322,000 USD.

Owner-facing IC role to build and evolve AIConfigurator's optimization engine and production-quality Python/Rust APIs, CLIs, SDKs, and workflows. Requires 10+ years of software engineering experience and expertise in GPU computing, model serving, performance modeling, benchmarking, and distributed systems to optimize latency, efficiency, parallelism, and resource utilization across NVIDIA GPU deployments (H100/H200/B200/GB200).

Join the Circuits Solutions Group to model and simulate PDNs from die to platform level and perform detailed block- and system-level simulations to ensure reliability and performance. Requires a BSEE or equivalent (MS/PhD preferred) with 6+ years of experience in circuit and PDN modeling/simulation and familiarity with industry EDA and simulation tools.

NVIDIA seeks a senior software engineer to architect, implement, and optimize production-grade GPU solutions for cuEST, a CUDA-X library for Gaussian-basis quantum chemistry. Requires 10+ years in high-performance numerical methods, 5+ years with production quantum chemistry packages, expert GPU development (C++, CUDA), and a PhD or equivalent experience.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Role involves interfacing with automotive partners and internal teams to architect, integrate, test and release ADAS/AV products using NVIDIA DRIVE software. Responsibilities include contributing to safety analysis artifacts (HARA, FMEA, fault tree analyses, safety cases), aligning safety deliverables and schedules, and supporting safety assessments and audits. Requires 6+ years in automotive safety engineering and experience with relevant safety and engineering standards.

Senior Program Manager responsible for owning and operating the AI Factory ARB process from intake through pre-deployment handoff. Requires 5+ years program/project management experience in large-scale infrastructure, cloud, networking, data center or AI deployments; familiarity with AI infrastructure, GPU clusters, networking, storage, deployment readiness, and tools such as Jira. Coordinates account teams, solution architects, engineering, partners, and operations while managing schedules, decision logs, risk tracking, and executive reporting.

Join NVIDIA's Infrastructure Specialist Team to design, deploy, and support large-scale AI/HPC networking projects (InfiniBand and Ethernet). Responsibilities include cluster deployment, performance benchmarking, automation (Ansible/Salt/Python), monitoring and reliability, and troubleshooting RDMA/network issues. Requires a BS/MS/PhD or equivalent and at least 5 years' networking experience.

Join NVIDIA's developer programs team as a Solutions Architect working with industry enterprise customers and AI startups to accelerate applications using NVIDIA technologies (CUDA, cuDNN, Triton, RAPIDS, Riva, etc.). The role requires external-facing technical experience (5+ years), creating technical content, developer enablement, training, and presenting to technical audiences.

NVIDIA seeks a Solutions Architect for Financial Services Capital Markets to partner with engineering, product, and sales teams, run customer proof-of-concepts, profile and optimize ML/DL models on NVIDIA GPU architectures, and build finance-focused collateral. Requires MS/PhD or equivalent experience, 5+ years as an ML/software engineer, proficiency in Python and C++, and experience with frameworks such as PyTorch, TensorFlow, JAX, Spark or Dask. Base salary range: 152,000 USD - 241,500 USD per year.

Lead developer relations for security and AI software within a named software account: accelerate adoption of NVIDIA APIs/SDKs and reference architectures into partner platforms, provide sample code/guides/demos, engage partner technical leaders, grow developer communities, and feed field insights into product strategy. Requires a Bachelor's/Master's or equivalent and a minimum of 12 years' technology experience (including 5+ years hands-on in observability, data analytics, monitoring, or security software). Base salary range listed: 224,000–356,500 USD per year.

The role coordinates incident response, maintenance, vendor support, disaster recovery tests, and reporting for NVIDIA's datacenter portfolio. It requires developing reliability programs (including problem/change control, health scoring, RAM/RCM studies), driving automation and process improvements, conducting root cause analyses, and working with ML/AI teams on failure prediction. Candidates should have a bachelor's degree or equivalent, 5+ years of datacenter operations or EHS experience, strong statistical and reporting skills, and proficiency with DCIM/asset databases and office productivity tools.

Work on infrastructure automation across multi-OS, multi-cloud and data center environments using tools such as Ansible, StackStorm, Kubernetes, Docker, Terraform and Jenkins. Requires 3+ years experience, strong scripting skills (Python, Bash, Groovy, Go), CI/CD experience, cloud familiarity (AWS), and experience with agentic AI tools (Codex, Claude).

Role focuses on decomposing and modularizing build processes, debugging CMake/pip/conda issues, managing dependencies and bringing up builds/CI across x86_64 and arm64 on Linux, Windows and Mac. Requires extensive experience with C/C++, Python, build and packaging tools, CI/CD systems, containerization and release management.

NVIDIA seeks a senior software engineer with 8+ years' experience to architect, design and implement features for compute debugger products targeting Windows, Linux and embedded real-time OSes. Required skills include strong C/C++/Assembly and scripting (Python), computer architecture knowledge, binary instrumentation and profiling; CUDA and GPU architecture expertise are highly desirable.

Lead technical engagements with MedTech customers to design and deliver AI and high-performance computing solutions (edge and cloud). Role requires MS/PhD or equivalent and 3+ years' experience in software development, machine learning, or HPC, with hands-on experience in C/C++, Python, CUDA, deep learning frameworks, streaming data processing, and inference optimization. Salary ranges provided for Levels 3 and 4.

Technical and strategic role advising Automotive & Mobility ISVs and developers, enabling integrations with NVIDIA technologies (AI, GPU, CUDA, Omniverse, NeMo, etc.), leading developer programs, technical enablement, partner onboarding, and cross-functional collaboration. Requires a bachelor's/master's (or equivalent) and a minimum of 8 years' tech industry experience, with 5+ years in Automotive or similar.

NVIDIA is hiring a Medical Devices Account Manager to drive revenue and adoption of NVIDIA healthcare and AI products with medical device and life sciences instrument manufacturers. The role involves pipeline development, forecasting, co-selling with partners/OEMs, and evangelizing NVIDIA's platform. Requires 8+ years in the healthcare market, understanding of medical device design cycles and regulations, a BS/MS/PhD in CS/Engineering (or similar), and proficiency in English. Experience with imaging modalities, AI/GPUs/FPGAs, OEM sales, and indirect sales is a plus. Locations listed: France, Switzerland, United Kingdom, and Remote.