NVIDIA is hiring a Senior Software Engineer to work on agentic memory: designing novel benchmarks and evaluation methods, building synthetic dataset generation and large-scale data pipelines, running experiments to diagnose memory failures, contributing open-source evaluation harnesses, and collaborating across teams to integrate improvements. Requires strong Python and deep learning experience, retrieval and agentic systems expertise, and 12+ years' experience (Master's/PhD or equivalent).

Senior manager role responsible for leading GSI partnerships to develop Healthcare and Life Sciences AI joint solutions, create and execute strategic go-to-market plans, and drive pipeline and revenue growth. Requires 12+ years in complex sales or partner business management (including 10+ years managing large GSIs), deep healthcare and life sciences domain expertise, and strong knowledge of AI, cloud, and GSI operations. Location indicated as US and Canada; base salary range USD 224,000–356,500.

Customer-facing Solutions Architect position supporting adoption of NVIDIA GPU and networking platforms across HPC, ML/AI, and supercomputing workloads. Requires 8+ years of relevant experience, expertise with GPU/parallel computing, container and cluster tooling (Slurm, Docker, Kubernetes), experience with Generative/Agentic AI, and U.S. citizenship (security clearance required). Some travel is required.

Lead technical engagements with advanced AI partners to define, prototype, and productionize generative AI, LLM, agentic, and multimodal systems. Requires 8+ years in AI/ML engineering with expertise in RAG, fine-tuning, GPU-optimized inference, MLOps, observability, and responsible AI; experience with NVIDIA software (Triton, TensorRT, CUDA, NeMo) and enterprise prototyping is emphasized.

Lead technical and strategic partner engagements across enterprises, ISVs, and startups in Brazil/LATAM focused on Generative AI and other AI domains. Requires ~12+ years' technology experience (including 6+ years hands-on in AI), ecosystem development, partner engineering collaboration, and the ability to translate technical requirements to product teams.

NVIDIA seeks a Physical AI & Robotics Solutions Architect to serve as a technical advisor to partners on simulation, digital twins, world-building, robotics, industrial autonomy, and auto. Responsibilities include designing architectures and compute footprints, guiding synthetic data and evaluation strategies, defining benchmarks and validation methodologies, and building reference architectures and enablement assets. Requires MSc/PhD or equivalent experience, 5+ years in robotics/physical AI/simulation/autonomy, strong software skills (Python and C++ or Rust), and experience with Omniverse, Isaac Sim/Lab, Cosmos, ROS2, OpenUSD, CUDA/GPU, benchmarking, and inference/compute planning.

Work on designing and implementing runtime features and automation to orchestrate lifecycle, installation, upgrade, and distribution of NVIDIA-accelerated Kubernetes runtime components across clusters. Role requires strong Go and Kubernetes experience (controllers, operators, CRDs), familiarity with Helm/Kustomize and manifest packaging, and experience with distributed systems and automation for large-scale deployments.

NVIDIA seeks a system software engineer to design, develop, and verify features for Tegra SoC kernel drivers and embedded software. The role involves close collaboration with hardware, silicon, and pre-silicon teams for platform bring-up, early modeling/simulation, and system-level debugging. Requires a BS/MS (or equivalent), 5+ years of relevant software development experience, strong C and low-level driver skills, and familiarity with ARM processor architecture and computer system fundamentals.

NVIDIA is hiring a Senior HPC and AI Network Software Architect to build and evolve scalable systems for distributed AI training and real-time inference. Responsibilities include developing communication and runtime capabilities (e.g., NCCL, UCX, UCC), partnering with AI framework teams (TensorFlow, PyTorch, JAX), and collaborating on hardware/system features across GPUs, DPUs, and interconnects. Requires Ph.D. or equivalent experience, 5+ years in systems programming, parallel/distributed computing or HPC, and strong C++, Python, and GPU programming experience. Locations referenced: UK, Poland, Germany, Switzerland (Zurich) and remote.

NVIDIA seeks a Senior Solutions Architect to advise customers on Generative AI and LLM inference deployments, build proofs-of-concept, and analyze performance and power efficiency of AI inference workloads on GPUs and Kubernetes. Requires 8+ years experience with Deep Learning frameworks (PyTorch/TensorFlow), strong Python and GPU orchestration skills (including MIG), and familiarity with containerization, observability, and inference optimization. Role includes cross-functional collaboration and ~20% travel.

Seeking an experienced Platform Architect (14+ years) to drive performance analysis and optimizations across the software stack (hypervisor, drivers, firmware) for GeForce NOW cloud gaming servers, engage with ODMs on system design, and enhance performance analysis tools and simulators. Requires experience with GPU/CPU/memory/controller/PCIe/storage reliability, BIOS/BMC/firmware, kernel-mode drivers and Windows/Linux OS/hypervisors; C/C++ and graphics APIs are desirable.

Role involves physical/custom layout and floorplanning for mixed-signal functions (PLLs, SerDes, ADCs, ESD) in submicron CMOS, working with ASIC and mixed-signal engineers. Requires deep Cadence Virtuoso expertise, experience with verification tools (Dracula, Hercules, Calibre, PrimeYield), DRC/LVS flows, and scripting (Perl, Python, SKILL). Position is hybrid and based in the US (Santa Clara referenced).

Lead and grow business relationships with GSIs in EMEA: define strategy, enable developer skill growth on GPU-accelerated computing, coordinate PoCs and RFQ responses with solution architects, and drive joint GTM and account engagement. Role requires 8+ years in sales or partner management working with large GSIs and strong technical familiarity with AI/GPU/HPC/cloud technologies.

Role to optimize inference speed and carry out production deployment of Cosmos foundation models on diverse GPU platforms; profile and remove bottlenecks in deep learning workloads. Requires 5+ years' experience, MSc/PhD or equivalent, strong deep learning background, Python and PyTorch skills, and experience with inference optimization techniques and frameworks (e.g., TensorRT, vLLM).

Join NVIDIA's HPC compiler group to implement and improve features in LLVM Flang, OpenACC, and OpenMP. The role involves compiler internals, semantic analysis, high-level optimizations for GPUs and multicore CPUs, collaboration with application teams, and requires 6+ years working on a production Fortran compiler.

Lead developer ecosystem engagement across Japan, partnering with ISVs, startups, research institutions, and enterprise software providers to accelerate adoption of NVIDIA AI and accelerated computing platforms. Responsibilities include technical integrations (CUDA-X, RAPIDS, TensorRT-LLM, Triton, NeMo, NIM), delivering reference architectures, workshops, and developer enablement, influencing product and ecosystem roadmaps, and managing and scaling a technical team. Requires 12+ years' experience, 5+ years hands-on with AI/HPC/large-scale platforms, and fluency in Japanese and English.

Role responsible for building and operating a hybrid quantum–HPC platform (NVIDIA GPU clusters integrated with physical quantum processors), managing Linux systems, job schedulers (Slurm), networking, storage, and data center operational needs. Collaborate with hardware vendors, enable applications, prototype hybrid workflows, and produce integration/runbook documentation. Requires strong HPC/data center experience, familiarity with quantum hardware and software, and proficiency in Python/C++.

Hands-on senior engineering position responsible for developing the NVIDIA Inferencing Microservices (NIM) SDK and microservice framework, including OpenAI-compatible APIs, backend integrations, multi-cloud model download/caching pipelines, observability, production hardening across cloud/on-prem/Kubernetes, and mentoring teammates. Requires strong experience in microservices, cloud-native platforms, containerization, high-performance systems programming, and languages such as Python, Rust, and C/C++.

NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to support Neo Clouds and customers in deploying and operating large-scale AI/HPC systems. Responsibilities include managing Kubernetes-based platforms, automation (IaC), monitoring/observability, storage and networking, performing end-to-end troubleshooting, and producing operational documentation. The role expects 5+ years' relevant experience.

Role requires designing, deploying, and operating large-scale AI/HPC networking and infrastructure (Neo Clouds) with emphasis on performance, monitoring, automation, and customer engagement. Requires 5+ years in networking, expertise in EVPN/BGP/OSPF/VXLAN, hands-on experience with Cumulus/SONiC/IOS/Junos/EOS, and automation using Ansible/Salt/Python. Must have strong English communication skills.