Responsible for defining and implementing growth and go-to-market strategies for NVIDIA's digital health ecosystem, building partnerships with ISVs, system integrators and cloud providers, and supporting regional sales to drive revenue and platform adoption. Role requires 18+ years of sales or business development experience in biopharma technology, 7+ years of team management experience, and ~25% travel. Cash compensation range stated as USD 332,000–500,250 per year.

Work on Nsight Systems and related developer tools to profile and optimize software across embedded systems, multi-GPU and NUMA servers. Collaborate with chip, system, and metrics teams and with internal/external users to define requirements and deliver features. Requires strong C++, algorithms/data-structures knowledge and a BS/MS plus 4 years of relevant software experience.

Role requires designing and implementing digital and mixed-signal analog circuits (e.g., op-amps, comparators, ADCs), performing transistor-level Spice simulations and EM/IR/static timing analysis, and contributing to hardware security and sensing IP. Requires 8+ years of circuit design experience. Location listed as Santa Clara / US with remote option; base salary range 168,000–264,500 USD per year.

Research and develop techniques to GPU-accelerate deep learning, machine learning and AI workloads; analyze and optimize complex AI and HPC algorithms on modern CPU/GPU architectures; publish and present findings and collaborate with hardware, software and research teams. Requires an advanced computational degree (or equivalent), 15+ years' relevant experience, fluency in C/C++, parallel programming experience (CUDA, OpenACC, OpenMP, MPI, pthreads), and deep knowledge of CPU/GPU architecture and low-level performance optimization.

Role focuses on design and development of an end-to-end 5G/6G baseband reference stack, optimizing CPU, GPU and NIC subsystems for low-latency and high throughput, implementing baseband functions in C/C++/Python/CUDA, supporting system integration, performance testing, lab trials and customer field engagements. Candidate should have a wireless communications or DSP background, experience with LTE/5G PHY and MAC, and 8+ years of software development/systems engineering experience.

Lead architecture and end-to-end delivery of fleet management and telemetry solutions for large-scale AI infrastructure. Responsibilities include designing and validating architectures, building telemetry/monitoring and fault-remediation systems, writing design specs, performing code reviews, and working with customers, QA, and cross-functional teams. Requires extensive hands-on coding experience and domain expertise in time-series databases, telemetry tooling, firmware, and system architectures.

Lead technical developer engagement and partnerships within the ISV vertical: act as a technical consultant to developers and partners, accelerate workloads by integrating NVIDIA stack, advise on enablement resources (sample code, guides, demo pipelines), support partner onboarding and integration, and feed partner technical needs back to product and engineering. Requires a Bachelor’s/Master’s in a technical field and a minimum of 8+ years' professional experience (including 5+ years working with software/technology companies in EMEA) with strong experience in HPC, cloud, AI/ML, and commercial GTM activities.

Role involves designing and implementing new NIC/DPU firmware features, implementing data-center management standards and protocols, participating from pre-silicon stages through product lifecycle, and ensuring security, reliability, and performance. Requires 5+ years in C/C++ development (embedded/binary network protocols), advanced English, experience with test automation, Linux, Git/Gerrit, Bash/Python, and SCRUM-oriented cross-team collaboration.

NVIDIA seeks a Senior Product Engineer for board products to manage product development and manufacturing (NPI/MP), drive yield and quality, support global CM sites, perform failure debug and resolution, and work cross-functionally with hardware, validation and software teams. Requires 5+ years of relevant experience, strong hardware/embedded expertise, and proficiency in English; Chinese is a plus.

NVIDIA seeks a Senior Product Engineer on the Board Product Engineering team to drive product engineering implementation, manufacturing methods, yield and quality goals, product change control, and failure debug across global contract manufacturer (CM) sites. Role requires 5+ years in product development or backend manufacturing, strong hardware/embedded and software knowledge, and proficiency in English (Chinese beneficial).

NVIDIA seeks a Solutions Architect focused on data center GPU server and networking infrastructure for accelerated computing and AI. Responsibilities include guiding network and compute/storage topology decisions, cluster bring-up and debugging, building demos/POCs, and supporting customers. Requires 6+ years experience, strong system-level knowledge (server architecture, NICs, Linux kernel/drivers), networking (Ethernet/InfiniBand/RoCE/DPU), familiarity with containers/DevOps tools (Docker, Kubernetes), and occasional (~20%) travel.

Work on design and training of generative, imitation, and reinforcement learning models to improve planning and reasoning for autonomous driving; build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world deployment; explore data generation strategies; collaborate to deploy production-grade, safety-critical ML integrated with vehicle firmware. Requires strong Python and C++ skills, experience with deep learning frameworks, and demonstrated deployment of ML at scale. Education/experience: PhD +4 years or MS (or equivalent) +6 years in a related technical field.

Role to develop and improve physical design methodologies and flows (placement, CTS, routing, STA, extraction, power/EM/IR closure) for NVIDIA GPUs, CPUs and SoCs. Requires ~7+ years in physical design/methodology, experience with advanced nodes and PPA optimization, familiarity with Cadence tool suite (Innovus/Genus/Tempus/Quantus/Joules), low-power flows (UPF, FSDB/SAIF), and scripting/programming (TCL, Perl, Python, C++). Experience applying ML/AI to EDA problems is a plus.

New college grad (2026) position building ML and AI systems for circuit design and design automation (VLSI/ASIC/EDA). Work includes silicon data analysis, SPICE correlation, circuit optimization, design-space exploration, and integrating models with ML and visualization tools. Requires a Master's or PhD (or equivalent experience) and proficiency in Python and C++.

Work collaboratively with circuit and mask designers to perform floor planning, custom layout, and verification (DRC/LVS) for analog and mixed-signal blocks (clock generators, op-amps, sensors, power and security circuits) in submicron CMOS technologies using Cadence Virtuoso and verification tools (Calibre, Dracula, Hercules). Requires 7+ years hands-on layout experience, scripting familiarity (Perl, Python, SKILL), mentoring experience; location indicated as Santa Clara (hybrid/remote possibility). Salary range provided: 132,000–207,000 USD/year.

Work on integrating communication-library features (NCCL, NVSHMEM, GPUDirect) into AI frameworks (PyTorch, JAX, TRT-LLM, vLLM, SGLang), perform workload performance characterization on multi-GPU clusters, author fused compute/communication kernels, and influence communication library roadmaps. Requires 5+ years of software engineering and HPC/AI experience and expertise in CUDA/C++, Python, performance profiling, and distributed/parallel programming concepts.

NVIDIA is hiring a Senior Quantum Systems Engineer to collaborate with internal and external teams to enable fault-tolerant quantum computing. Requires 5+ years post-bachelor’s experience, hands-on work with real qubits and quantum control systems software, and skills across hardware, software, and firmware. Salary range listed: USD 152,000–287,500 (base, varies by level).

Role to build core infrastructure and extensible toolchains for CUDA Quantum, working on inter-device communication, performant execution across multiple processors, and problems at the intersection of compilers, HPC, and quantum computing. Requires 5+ years of experience and domain-relevant technical skills (compilers, LLVM/MLIR, GPU/FPGA programming, distributed and multi-processor systems).

NVIDIA seeks a Senior Software Engineer to design and develop scalable, modular infrastructure for build, test, integration, and release of deep learning libraries (including cuDNN and FlashInfer). The role involves development across the stack, automation of CI/CD systems, maintaining tools like Kubernetes, Jenkins, Docker and contributing to upstream open-source tools. Requires a BS or equivalent and 5+ years' relevant experience with strong Python and C/C++ skills and experience with CI and build systems.

Lead and grow a distributed team of performance engineers focused on low-level performance optimization (GPU/CUDA and CPU), algorithm development, and performance-first prototypes for data analytics workloads across cloud and on-prem environments. Requires MS/PhD or equivalent, 7+ years experience (including 3+ years engineering leadership), C/C++ fluency, and deep CPU/GPU architecture and performance engineering expertise.