Implement and lead Unified Firmware architecture and system management software using OpenBMC across NVIDIA server platforms. Responsibilities include BMC firmware bring-up, designing manageability features, ensuring security and performance, working with hardware and QA teams, and producing API/docs. Requires a Bachelor's (or equivalent) and 10+ years of relevant experience with OpenBMC, server platform management standards (IPMI, DMTF/Redfish/PLDM/MCTP/SPDM), strong Linux and systems programming skills (C/C++, Bash, Python, Go).

NVIDIA is hiring a Senior Systems Software Engineer to work on the CUDA Driver, delivering features and improvements for GPU compute workloads. The role requires strong C/C++ skills, at least 7 years of related development experience, experience with operating system interfaces (threads, process control, virtual memory), multithreaded debugging, and working on large codebases; familiarity with kernel-mode development, Linux/Windows systems, and parallel computing is desirable.

Lead end-to-end capacity management for the EDA Farm including server procurement, vendor negotiations, capacity allocation, and data center space/power planning. Build data-driven capacity models, improve tooling and automation for provisioning, align cross-functional teams (engineering, procurement, finance, vendors) using agile program methodology, and report metrics to drive efficiency and cost optimization. Requires 12+ years experience in capacity engineering/management or technical program management and technical degree (BS or equivalent). Salary range provided: 200,000–322,000 USD base per year.

NVIDIA is hiring a Software Solutions Architect for NVIS to collaborate with infrastructure admins, data scientists, and ML engineers to deploy and integrate NVIDIA AI software (e.g., Run:ai, Mission Control) into customers' ML ops environments. Responsibilities include developing integration scripts, diagnosing cloud-native environments, profiling deep learning models, and working with internal teams. Minimum 5 years in a customer-facing role, B.Sc. or equivalent, proficiency with Linux/Unix, Kubernetes, Docker, software development experience, and CKA certification are required. Listed base salary range: 124,000–235,750 USD (annual, depending on level).

NVIDIA seeks a Senior Electrical Product Engineer based in Houston, Texas to plan and establish processes, define and implement diagnostic and manufacturing tests, debug HW/FW/SW interactions, and optimize production yield for HGX GPU-accelerated server platforms. Requires BS/MS in EE/CE or equivalent and 5+ years of relevant industry experience; experience with signal integrity, digital design, test development, and tools such as Perl/C++/Windows/Linux is highlighted. Salary ranges provided in the posting: 116,000–184,000 USD (Level 3) and 140,000–224,250 USD (Level 4). Application accepted through April 19, 2026.

Role to engage software vendors, ISVs, startups, OEMs and integrators across manufacturing in EMEA; create technical enablement (sample code, reference architectures, workshops), guide onboarding and integration of NVIDIA platforms, influence product and platform teams with developer feedback. Requires 8+ years experience (5+ years in industrial/manufacturing focus), strong technical background in AI/ML for manufacturing (robotics, simulation, digital twins, vision), and strong English communication skills.

NVIDIA seeks a Senior Mask Layout Design Engineer to perform physical layout for mixed-signal functions (PLLs, high-speed SerDes, ADCs, ESD) in submicron CMOS using Cadence tools (notably Virtuoso). Role involves floorplanning, custom layout, and verification (DRC/LVS) working cross-functionally with ASIC and mixed-signal engineers. Requires a BSEE or equivalent, 7+ years of mask/layout experience, strong analog layout knowledge, expertise with Cadence tools and verification flows (Dracula, Hercules, Calibre, PrimeYield), and scripting (Perl, Python, SKILL). Stated base salary ranges: $132,000–$207,000 (Level 4) and $148,000–$235,750 (Level 5). Applications accepted through April 18, 2026.

Join NVIDIA's Partner Network as a Senior Solutions Architect to guide partners in adopting end-to-end AI and HPC solutions using NVIDIA compute, networking, and software stacks. The role requires 12+ years of experience with cluster management and tools such as Docker, Slurm, Kubernetes, and Ansible, plus hands-on experience with networking, storage, and GPU-based workloads.

Lead and manage a team of infrastructure/HPC specialists advising partners on design, deployment, and bring-up of large-scale AI/HPC projects and NVIDIA reference architectures. Requires 8+ years overall experience, 4+ years leading teams, strong software (Python/C++) and data center infrastructure knowledge, familiarity with deep learning/LLM training tools, and English communication skills. Base salary range: 224,000–356,500 USD/year.

Work on the CUDA Driver to architect and implement features related to memory model and multi-node scalability for AI and other compute workloads. Requires strong C/C++ skills, experience with device drivers, memory coherence/consistency, multithreaded programming, and driving projects across multiple teams; Linux/Windows and kernel-mode experience are relevant.

Principal role to define roadmaps and lead design of communication libraries (NCCL, UCX, UCC, NVSHMEM, MPI) and collective algorithms for trillion-parameter models; requires 12+ years in HPC/distributed deep learning, expertise in RDMA/RoCE/InfiniBand, CUDA/GPU memory hierarchy, 3D parallelism and inference/serving technologies (e.g., TensorRT-LLM, vLLM). Salary range provided: 272,000–431,250 USD/year.

NVIDIA is hiring a Project Technical Delivery Manager (France, remote) to manage datacenter project delivery from initiation to close. Role requires 5+ years in project delivery and field services/customer support, strong knowledge of data center servers and network equipment, leadership and communication skills. PMP certification and HPC/data-center technology experience are desirable.

NVIDIA seeks a Senior AI Compute Engineer to join Infrastructure Specialists, working with customers and internal teams to plan, deploy, and validate Linux-based AI Compute/HPC systems. Requires 8+ years of deployment/support experience, strong Linux administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (SLURM/LSF/UGE), benchmarking (HPL/NCCL/MLPerf), Kubernetes, and up to 20% US travel.

Forward-deployed technical role within NVIDIA's Partner Network to plan, deploy, manage and validate AI Compute/HPC systems for customers and partners. Requires 8+ years of deployment/support experience, Linux administration, scripting (Bash/Python/Ansible), schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and travel within the United States (up to 30%). Salary ranges provided for levels 4 and 5.

Lead technical subject-matter expert responsible for designing developer tools, APIs, and workflows for chemistry and materials science, translating ML and simulation research into production software, prioritizing features across teams, and representing NVIDIA at scientific venues. Requires a PhD or equivalent, 8+ years building AI/ML software for chemistry or materials applications, strong GPU and ML framework experience, and deep knowledge of interatomic potentials, generative modeling, and quantum chemistry workflows.

Join NVIDIA's Solution Architects team to integrate and optimize large-scale AI/HPC deployments for strategic customers. The role requires 10+ years of experience with large-scale hybrid networks and compute clusters, strong programming skills (C/C++/Python), expertise in GPU/CPU architectures, CUDA, networking technologies (DPU, RoCE, InfiniBand), Linux and kernel drivers, and performance benchmarking and debugging.

Responsible for adapting NVIDIA Drive software on development and production vehicles, triaging and diagnosing complex safety-critical ADAS issues, collaborating with OEM and NVIDIA teams to root cause problems, supporting vehicle bring-up (software flashing, on-road and proving ground validation, data logging), and debugging active safety functions (emergency braking/steering). Requires 5+ years in ADAS development including in-vehicle activities, proficiency with Linux and/or QNX, strong communication skills, a valid driver’s license, and willingness to travel. BS/MS in Computer Science, Electrical, or Automotive Engineering (or equivalent) preferred.

NVIDIA seeks an experienced engineer to architect, develop, and optimize accelerated and distributed implementations of Python numerical/scientific computing libraries (Python, C++, CUDA). Responsibilities include API design, performance analysis across CPU/GPU architectures, integrating with frameworks (NumPy, SciPy, CuPy, JAX), and contributing to multi-GPU runtime systems. Requires 6+ years' experience and strong background in numerical methods, parallel programming, and performance optimization.

NVIDIA seeks a Senior Software Engineer (6+ years) to build and harden containers, Python tooling, CI/CD integrations, and Kubernetes deployment patterns for NIM runtimes and GPU inference. Role involves optimizing container performance, multi-arch CUDA builds, Helm/Operator automation, and collaborating across research, SRE, backend, and product teams. Location indicated as US (Santa Clara) with remote options; posted salary ranges from 184,000 USD to 356,500 USD per year.

NVIDIA Public Sector DevTech role to research and develop GPU-acceleration techniques for federal applications (e.g., CFD, EDA, weather/climate, graph theory, AI in HPC). Requires MS/PhD or equivalent, 5+ years relevant experience, programming fluency in C/C++, and expertise in parallel programming (CUDA, OpenMP, MPI/SHMEM) and performance optimization.