Join NVIDIA's IPP organization to perform and lead Automotive SPICE (PAM 4.0) and HW SPICE (PRM/PAM 3.0) assessments across systems, software, and hardware engineering. The role requires 10+ years of experience, Intacs Automotive SPICE Provisional Assessor (Competent Assessor preferred), strong facilitation and communication skills, and familiarity with ISO 26262, ISO/SAE 21434, and ISO 8800. Responsibilities include using AI-assisted tooling, translating findings into trackable improvements, mentoring teams, and reporting to senior leadership.

Lead technical engagement with partners building Conversational and Generative Media solutions to integrate NVIDIA's AI software stack (libraries, SDKs, NIMs, blueprints). Responsibilities include onboarding, co-innovation, creating enablement assets (reference architectures, samples, benchmarks, workshops), and influencing product strategy. Requires a BS/MS or equivalent, 5+ years in tech (including 3+ years hands-on AI) and experience with architecting and scaling partner solutions.

Lead developer relations and partner engineering for NVIDIA's AI platform and tools within data platform engineering. Responsibilities include driving library/SDK integration, building enablement assets (reference architectures, sample code, benchmarks, workshops), onboarding and co-innovation with partners, and relaying field feedback to product and engineering teams. Requires 5+ years in technology roles and 3+ years hands-on AI experience; deep domain knowledge of data pipelines, pipeline acceleration, RAG/semantic search, and familiarity with NVIDIA software (RAPIDS, NeMo, CUDA-X, cuDF/cuML/etc.).

Lead strategic technical engagement with ISVs and startups across the enterprise MLOps lifecycle in North America. Responsibilities include integrating NVIDIA libraries/SDKs into partner products and data pipelines, creating reference architectures, benchmarks, sample code, and enablement content, driving partner onboarding and co-innovation, and feeding field-driven technical requirements into NVIDIA product roadmaps. Requires 5+ years in technology roles (software engineering, DevRel, technical partnerships, solutions architecture, or product management) including 3+ years hands-on AI experience.

Lead Developer Relations for NVIDIA's Energy team, driving adoption of GPU-accelerated solutions across ADMS/DERMS, EMS, protection/stability studies, substation and factory digital twins, and edge AI. Responsibilities include building end-to-end OT-to-IT patterns, enabling SDK integrations (CUDA, Triton, TensorRT, RAPIDS, NIM, Modulus, Omniverse, Metropolis, Isaac/ROS, Jetson/IGX), engaging senior technical stakeholders, translating OT constraints (latency, determinism, IEC 61850, OPC UA, MQTT, CIM, NERC CIP, IEC 62351) into product requirements, coordinating with Product/Sales/Cloud/SI partners, and establishing measurable outcomes from POC through production. Requires BS/MS or equivalent, 8+ years in solutions or developer-facing roles in power systems/grid/industrial software or data centers, and ~2+ years leading technical programs or developer communities; travel ~25–40%.

Lead and mentor engineers to plan, schedule, and execute projects to create, optimize, and deploy training and inference deep learning workloads. Coordinate across teams and geographies, work on optimized numerical and DL algorithms, interact with scientific teams, and occasionally travel to conferences or customers. Minimum BSc and 8 years related experience (including 3 years management).

Join NVIDIA to develop NeMo Evaluator and related NeMo Platform tooling: design Python-first APIs/SDKs and build systems for ingesting, validating, analyzing, and evaluating agent execution data. Requires 5+ years of software engineering experience, strong Python and distributed/cloud-native systems skills, and experience with observability, testing, and performance in production systems.

Lead the engineering team within NVIDIA's Dynamo organization to advance AIPerf (an open-source inference benchmarking platform). Responsibilities include driving core infrastructure (load generation, ZMQ microservices, GPU telemetry, Prometheus, statistical confidence intervals, Kubernetes-native deployment), advising integrations with vLLM/TRT-LLM/SGLang, and hiring/mentoring senior engineers. Requires 8+ years software engineering experience and 3+ years engineering leadership.

NVIDIA seeks a Senior Solutions Architect to work with UK academic partners (based in London/Reading, with remote options noted) on Physical AI and robotics research. Requires a Ph.D. in a relevant field, a strong publication record, 5+ years hands-on AI research experience for robotics, expertise in robot learning/manipulation/perception/sim-to-real, experience with grant processes and academic engagement, and excellent English communication skills. Responsibilities include identifying research opportunities, championing NVIDIA platforms (e.g., Isaac Sim, Cosmos, GR00T, Warp, Newton), shaping institutional agreements, aiding grant acquisition, and coordinating outreach and mentoring activities.

NVIDIA seeks a Senior Solutions Architect to work with UK academic research groups on Generative AI, AI models, and large-scale AI systems. The role involves identifying research opportunities, championing NVIDIA software platforms (e.g., NeMo, NIMs, Cosmos, CUDA X), supporting grant and institutional partnerships, and mentoring students. Requires a Ph.D., research publications in relevant areas, experience in academic research groups, strong communication skills, and 5+ years hands-on experience in Generative AI research.

Join the NVLink team to drive platform bringup and feature enablement on multi-GPU systems, triage and resolve software/firmware issues from qualification runs, collaborate with architecture/hardware/firmware teams on DFx and performance, and develop AI-based automation tools to improve firmware development and verification. Requires a BS/MS in EE/CS (or equivalent), 5+ years in software verification, and experience with Python/Perl/C/C++ and system architecture fundamentals.

Work on automation, tooling, and operational systems for DGX Cloud GPU clusters (Kubernetes-based) including provisioning, validation, upgrades, monitoring, repair, and lifecycle operations. Requires 8+ years building or operating production infrastructure, strong programming (Python/Go), Linux, Kubernetes/containers, infrastructure automation, and experience troubleshooting distributed systems in production.

Seeking a Senior System Software Engineer to develop and lead NvSci system software enabling cross-platform integration with user applications, hardware acceleration libraries, and SoCs. Role requires design and implementation of middleware/APIs, performance optimization with hardware/firmware teams, and delivering features that meet automotive safety/security standards (ISO 26262, ASPICE, ISO 21434). Qualifications: BS/MS in CS/CE/EE or equivalent, 8+ years software development experience, proficiency in C/C++, experience with embedded systems, OS concepts, multithreading, and cross-functional collaboration.

Role involves architecting and deploying agentic GenAI/LLM solutions for telecommunications network operations (telemetry, logs, SNMP, NetFlow/IPFIX, time-series), enabling NVIDIA Telco partners on NVIDIA AI stacks (Morpheus, RAPIDS, NeMo, NIM), and providing technical guidance for production integration. Requires 6+ years building and deploying AI/ML systems, strong Python and PyTorch experience, and familiarity with telecom data and related tooling.

Lead ownership of physics-based models linking AVF, defect mechanisms, and DVFS transients to field FIT, yield, and DPPM; author program methodology and ATE/SLT specifications; design and execute validation experiments from NPI through production. Requires BSEE/MSEE/PhD or equivalent and 15+ years of relevant experience.

Technical lead for DRIVE Road Structure, Online Mapping, and Context Fusion, owning design and development of systems that integrate perception and mapping across diverse driving environments. Role requires driving real-time 3D model architecture, advancing mapless driving (BEV), improving scenario understanding (occupancy grids, occlusion reasoning), and collaborating with perception, planning, and platform teams.

Profile and optimize end-to-end neural reconstruction workflows (data loading, training, rendering) using PyTorch and CUDA; translate Python/NumPy/PyTorch bottlenecks into efficient CUDA/C++ or PyTorch-native implementations; build benchmarks, regression tests and profiling workflows. Role requires 12+ years experience and strong skills in Python, C++, PyTorch, and CUDA.

NVIDIA is hiring a Senior ASIC Power Engineer to develop and deliver power-efficient, high-performance RTL and hardware designs for GPU and processor platforms. Requires a BS/MS (or equivalent), 5+ years in high-performance or processor designs, expertise in SystemVerilog/HDL, VLSI/physical design, and computer architecture; salary range provided (USD 136,000–264,500/year depending on level).

NVIDIA is hiring a new college graduate Circuit Design Engineer to work on processor and circuit IP design in deep submicron technologies, performing transistor-level analysis, Spice simulations, EM/IR analysis, and static timing analysis. The role involves digital and mixed-signal analog design (op-amps, comparators, ADCs), current/voltage sensing, security detection circuitry, collaboration with cross-functional teams, and mentoring junior members. A Master's or PhD in Electrical or Computer Engineering (or equivalent) is required.

NVIDIA is hiring a Senior Solutions Architect for Medical Devices to work with medical device customers, researchers, and partners across EMEA to integrate AI and accelerated computing at the edge and in the cloud. Responsibilities include designing HW/SW for software-defined medical devices, building proofs of concept, optimizing workloads on NVIDIA platforms, and supporting customers. Role lists locations in Switzerland and Germany and allows remote work; some travel is required.