NVIDIA seeks a Senior Solutions Architect to work with robotics companies, research teams, and healthcare partners across EMEA to design, build, and deploy AI-enabled medical and surgical robotics solutions. The role requires designing NVIDIA hardware/software integrations, building proofs-of-concept using Omniverse/Isaac Sim, and advising customers on simulation-first development, robot learning, and Sim2Real validation. Minimum 5 years' relevant experience is required.

NVIDIA is hiring a Senior System Software Engineer to design, develop, test, and optimize system software for next-generation ARM-based SoCs targeting datacenter performance and efficiency. Responsibilities include performance analysis across hardware/software stacks, identifying HW/SW policies to improve performance and power, and driving adoption of optimizations across NVIDIA software and SDKs. Requires 6+ years experience in computer architecture or software development with strong skills in multicore systems, OS design, device drivers, and performance tuning.

Lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications; drive research in AI for quantum algorithms; manage execution of technical projects with QPU builders and strategic partners; publish research and represent NVIDIA at conferences; support customer adoption through strategic technical engagement. Requires PhD or equivalent, 9+ years working on quantum algorithms and applications, and demonstrated technical leadership.

NVIDIA internship for PhD students focusing on generative models, synthetic data creation, user simulation calibrated to real behaviors, reward modeling, and data-quality estimation for LLM pre-/post-training. Requires strong research background, Python and PyTorch experience, familiarity with HuggingFace/vLLM and distributed LLM training, and publications at top-tier venues. Hourly intern pay listed as $30–$94 USD.

Join the Fabric Networking team to drive platform bringup, feature enablement, end-to-end software validation, and debug for NVLink-based GPU and rack-scale systems. Responsibilities include developing tools, diagnostics, automation, and validation infrastructure; leading reliability and MTBI validation via stress testing, telemetry and failure injection; triaging cross-domain software/firmware/hardware/network issues; and collaborating with architecture, hardware, firmware, software, and customer teams. Requires 5+ years experience, strong C/C++ and Python skills, system-level debugging, and networking fundamentals.

Lead development and execution of a global channel go-to-market partnership with HPE, working with global and regional channel leadership and partner ecosystems (solution providers, distributors, GSIs, ISVs). Responsibilities include partner enablement, driving pipeline and POCs, conducting business and executive reviews, and coordinating joint programs and investments. Requires 12+ years in technology (5+ years channel partner management), global experience, strong communication and analytical skills; compensation ranges provided for two levels (USD 248,000–396,750 and USD 296,000–448,500).

Role to architect, develop, and debug firmware for the GPU OOBHUB; requires 5+ years in low-level firmware/embedded development, expert C skills, experience with RISC-V or similar, and familiarity with protocols like SPI, I2C/I3C, PCIe, SMBus, MCTP and PLDM. Location listed as US (remote option); salary range stated.

Role involves mentoring partners and customers, shaping strategic plans for national/regional/city-level initiatives, building technical resources (presentations, notebooks, blogs), guiding hands-on field trials and deployments, and advocating product requirements. Requires MS or equivalent experience, at least five years in technical consulting or software development, hands-on experience with Python, PyTorch, Kubernetes/containers, and experience with generative/agentic AI and LLM tuning or deployment. Travel (including some international) may be required. UK or NATO security clearance and prior experience with NVIDIA libraries, GPUs, MLOps, CI/CD, multi-modal AI, digital twins, or government consulting are listed as distinguishing attributes.

NVIDIA seeks a Solutions Architect for public sector/government customers to support AI adoption, proofs of concept, productization and solution delivery. Requires MS or equivalent experience, 5+ years in technical consulting or software development, hands-on Python, PyTorch, Kubernetes, containers, and experience with generative/agentic AI and LLMs. Remote roles noted for Poland and Germany; travel (including international) may be required. Salary ranges for Poland provided.

NVIDIA seeks a Quantum Error Correction Research Scientist Intern to develop automated pipelines for discovering and evaluating quantum error correcting codes and machine-learning-based decoders. Responsibilities include integrating classical ML methods, building decoders for topological and/or QLDPC codes, incorporating hardware constraints into code and decoder design, and evaluating fault-tolerant circuit performance via simulation. Candidates should be pursuing a Master's or PhD in a relevant field and have background in quantum error correction, Python, and related simulation or ML methods.

Join NVIDIA's Financial Systems Engineering team to architect event-driven (Kafka) pipelines, design transactional data models, and implement scalable ETL/ELT solutions (Databricks, dbt) for global payment and invoicing systems. The role requires expertise in PostgreSQL-backed REST APIs, Python/Golang/Scala/NodeJS, distributed systems, cloud infrastructure (AWS/GCP/Azure), and container platforms (Docker/Kubernetes).

Join NVIDIA's EMEA Media & Entertainment team as a Solutions Architect to drive adoption of GPU-accelerated AI platforms for video use cases. Responsibilities include architecting end-to-end video analytics and generative workflows, leading customer PoCs, and designing scalable inference from Edge to large Cloud clusters. Requires MS/PhD or equivalent and 5+ years in computer vision (detection, segmentation, tracking), experience with VLMs and generative models, proficiency with PyTorch, and expertise in model deployment, quantization, and inference at scale. Familiarity with NVIDIA SDKs (DeepStream, TensorRT, Triton, TAO, Holoscan, NeMo), Omniverse, and containerization (Docker/Kubernetes) is a plus.

NVIDIA seeks a Senior Applied Deep Learning Scientist to advance the Nemotron multimodal models. Responsibilities include pre- and post-training work across text, image, audio, and video, building large-scale data pipelines, multi-GPU training, and collaborating globally to deploy models into production. Requires M.Sc./Ph.D. or equivalent and 10+ years industry experience in computer vision and related areas, strong PyTorch/Python skills, Docker and Linux experience.

Lead planning and execution of complex technical and operational programs for key partners and customers, translating requirements into actionable tasks across engineering, quality, logistics and sales. Requires a technical background, 8+ years' program/project management experience in IT, software or embedded systems, experience with OEMs/CSPs, and willingness to travel up to 10%.

NVIDIA seeks a Senior Product Engineer based in Thailand (remote) to manage Interconnect products (AOC/transceivers), drive product yield and quality, implement change control and build management, and develop manufacturing partners. Requires 5+ years in product development, strong hardware and/or software engineering knowledge for optical products, experience with high-precision connectors/interconnects, advanced data analytics skills, and proficiency in written and spoken English. Travel to sites is required.

NVIDIA is hiring a Senior Security Architect to lead architecture and strategy for cloud authentication, authorization, workload and agent identities, and identity lifecycle. The role requires 8+ years in cybersecurity or related fields and expertise in IAM protocols (OIDC, OAuth 2.0, SAML), certificate-backed identities, attestation, Zero Trust concepts, threat modeling, and AI security. Location is Santa Clara, CA with remote options in the US; base salary range $184,000–$287,500 USD/year.

Seeking a Master's or PhD student to prototype agentic AI pipelines for quantum EDA, accelerate quantum calibration primitives, combine electromagnetic and quantum simulations to build device Hamiltonians, and curate data for digital twin and NVIDIA Ising workflows. Requires proficiency in Python and solid quantum computing fundamentals; exposure to electromagnetic simulation tools (e.g., Ansys HFSS) and experience with GPU-accelerated quantum software is a plus.

Join NVIDIA's Networking/transceivers team to analyze networking failures, design and run engineering experiments, perform lab debugging, and cross-correlate multi-test data to identify root causes. Requires B.Sc. in Electrical/Materials/Chemical Engineering or equivalent, 8+ years' experience in data-driven debugging, strong statistics and data analysis (JMP & Python), and proven AI capabilities. Preferred: optical networking and physical-layer verification experience. Locations include US (Austin, Hillsboro, Santa Clara) and remote.

Responsible for designing, implementing and supporting operational and reliability aspects of a large-scale observability and telemetry collection platform; engage across the whole service lifecycle from design through deployment and operation. Requires 15+ years relevant experience, deep knowledge of Linux, networking, containers, infrastructure automation and experience with tools such as Kubernetes, OpenStack, Prometheus, Grafana and OpenTelemetry; experience with Python/Go/Perl/Ruby.

Lead technical strategy and implementation for DGX Cloud cluster operations, including automation, GitOps, lifecycle management, validation, repair, upgrades, observability, SLOs, and incident response. Requires 15+ years building and operating large-scale distributed systems or cloud infrastructure, deep Kubernetes and Linux experience, and strong programming skills in Go or Python. Role involves mentoring engineers and influencing cross-functional platform, infrastructure, storage, networking, and security teams.