Responsible for strategic relationships with cities, local governments, and smart-space operators across EMEA to position NVIDIA's AI Factory, digital twins, computer vision, and generative AI solutions. Role requires building pipeline, influencing policy and governance, collaborating with partners, and driving adoption of AI for mobility, urban planning, public safety, and citizen services. Requires 8+ years experience and proficiency in English and German.

Lead technical and business strategy to drive adoption of NVIDIA software and hardware across selected industries in India. Develop the India developer ecosystem with cross-functional teams, engage with AI-native startups and ISVs, run webinars/workshops/meetups, accelerate application integrations with NVIDIA libraries and SDKs, and provide mentorship and technical support. Requires 8+ years experience, strong cloud and containerization knowledge, and expertise in C/C++/Python and AI/ML/Deep Learning technologies.

Work involves developing infrastructure and tools to automate complex software processes, implementing benchmarking and profiling frameworks, and applying deep knowledge of OS internals, device drivers, memory, storage, networking, and high-speed interconnects. Requires 5+ years industry experience, proficiency in C++/Python/Go, experience with distributed systems, CI/CD, containerization (Docker, Kubernetes), and performance/debugging of compute workloads.

Lead and deliver complex, high-impact programs across software engineering and product teams at NVIDIA's R&D Center. Responsibilities include program ownership, release and risk management, technical alignment with system architecture, stakeholder communication, metrics tracking, and driving continuous improvement. Requires strong technical background, experience with tools like Jira/NVBugs/Confluence, Agile/PLC methodologies, and 8+ years in technical program management.

NVIDIA Research is hiring a recent PhD graduate to work on machine learning systems spanning hardware, software, and infrastructure. Responsibilities include analyzing efficiency, scaling, and resilience challenges, developing systems solutions, co-designing ML algorithms and systems, collaborating across teams, and publishing research. Required background includes strong systems knowledge (OS, distributed systems, data management, networking, cloud, or architecture) and experience with C/C++/Python and experimental R&D.

Senior HPC DevOps and Network Engineer role at NVIDIA responsible for architecting, building, and operating large-scale HPC/AI clusters. Responsibilities include infrastructure-as-code, CI/CD, automation, monitoring/logging, networking (InfiniBand/RoCE/Ethernet), storage, virtualization, troubleshooting, and performance tuning. Requires B.Sc. (or related) and 5+ years' experience; experience with GPUs, Slurm, Kubernetes, and cloud platforms is listed.

NVIDIA seeks a Senior Networking Solutions Architect to design, deploy, and support large-scale AI/HPC networking (InfiniBand and Ethernet). Requires at least 8 years' experience in networking fundamentals, TCP/IP, data-center architecture, EVPN/BGP/OSPF/VXLAN, hands-on switch/router platforms (Cumulus, SONiC, IOS, JunosOS, EOS), and automation with Ansible/Salt/Python. Role involves customer engagement, performance monitoring, and lifecycle operations of large AI clusters.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Lead software architecture for NVIDIA deep learning server platforms, designing end-to-end software and firmware across application software, libraries, system software and firmware. Collaborate with customers, partners and cross-functional teams; make key technical decisions and mentor engineering teams. Requires 10+ years in system architecture/design, BS/MS or equivalent, and knowledge of management protocols (Redfish, IPMI, MCTP, PLDM, RDE), cloud/cluster deployment, storage and networking.

Role to drive server management and firmware architecture for large clusters and data centers deploying NVIDIA GPUs and Grace solutions. Responsibilities include working with data center architects and customers to define requirements, owning firmware quality, reliability and telemetry, collaborating with internal leads on health management workflows, and resolving cluster bring-up issues. Requires 15+ years of server firmware (BMC) and platform software experience, strong C/C++ and Python skills, and experience with data center manageability and SCM tools (Git/Perforce) and Jira.

Lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware level, evaluate technologies and develop prototypes. Requires 5+ years as a Software or Systems Architect, strong software development experience, deep knowledge of C and Python, Linux development, cloud-networking and networking protocols; experience with DPDK, OVS/OVN, containers and Kubernetes is a plus.

NVIDIA seeks a Software Engineering Manager for image and data compression libraries (US-based, hybrid/remote). Role requires at least five years' experience including three or more years managing teams; strong technical skills in C++ and Python; experience with parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX, etc.); and familiarity with image processing and compression algorithms. Base salary range: 200,000 USD - 322,000 USD.

Join a team developing GPU-accelerated dense linear algebra libraries (e.g., cuSOLVER). Responsibilities include designing, implementing, and optimizing kernels (triangular factorizations, eigenvalue and singular value decompositions), providing technical leadership, and collaborating with product and QA. Requires MSc/PhD or equivalent and 5+ years developing high-performance numerical linear algebra software (C++, CUDA, MPI/OpenMP/OpenACC/pthreads).

Join NVIDIA's Developer Technology team to research and develop GPU acceleration techniques for deep learning, machine learning, and other AI domains. Role involves in-depth analysis and optimization of complex AI and HPC algorithms, collaboration with research and engineering teams, and publishing findings. Requires a Master’s (or equivalent), 8+ years relevant experience, programming fluency in C/C++, and experience with parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads) and low-level performance optimizations. Locations listed in the US with hybrid/remote options; posted salary ranges provided by level.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and inference pipelines for LLMs and generative/multimodal models. The role involves contributing to and optimizing frameworks (vLLM, SGLang, FlashInfer), using tools like CUDA, CUTLASS, Triton, and NCCL, and collaborating across teams. Requirements include a Master's/PhD or equivalent experience and 5+ years of relevant software development experience with strong C/C++ skills; Python and production inference experience are a plus.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

Role involves designing, implementing, and maintaining automated test scripts and frameworks (primarily Python), owning end-to-end feature test plans, validating software functionality and performance via system/integration testing in Linux-based and virtualized environments (Docker, KVM), managing test environments, analyzing defects, and collaborating with software, DevOps, architecture, and product teams. Requires 5+ years' experience and fluent English. Base salary ranges for Poland are stated (221,250–383,500 PLN for Level 3; 292,500–507,000 PLN for Level 4).

Responsible for designing, implementing and bringing up OpenBMC firmware for NVIDIA server platforms, performing performance analysis, developing manageability features and ensuring product security and testability. Role requires board bring-up and device driver experience, familiarity with standards (Redfish, PLDM, MCTP, SPDM, IPMI), strong Linux and systems programming skills (C/C++, Python, Go, Bash), and a minimum of 8 years' experience.

Hands-on architect/engineer role focused on operationalizing GPU computing products and software stacks for large-scale HPC/GPU clusters. Responsibilities include system administration, at-scale system analysis, performance tuning, and collaborating with engineering and research teams. Required skills include accelerated computing, parallel filesystems, I/O and scheduling stacks, and programming/scripting in C/C++/Python/Bash. Salary ranges provided (USD 184,000–356,500/year depending on level).

NVIDIA seeks a Developer Relations Manager focused on CAE for higher education and research to lead strategic relationships, drive early product adoption, host developer events, and advise product teams. Requires MS/PhD or equivalent, 12+ years in applied research for engineering simulation, and 6+ years in higher education or research lab leadership. Role is based in the US (multiple states listed) and the posting lists a base salary range of 224,000–356,500 USD per year.