Manage strategic developer and ISV relationships, collaborate with Product and Engineering, evangelize NVIDIA's CUDA Math Libraries (including cuBLAS, CUDA Toolkit, HPC SDK), and drive early adoption and enablement of mixed-precision and high-performance numerical computing solutions. Requires 8+ years of relevant experience and technical expertise in HPC and numerical methods.

NVIDIA seeks a Senior EngOps Engineer with 5+ years' experience to maintain high-performance rack-scale datacenter management solutions, manage cluster software/firmware rollouts, troubleshoot cluster failures, and work with Infrastructure Service development teams. Required experience includes cluster/server/switch administration, OS and network configuration, Kubernetes, datacenter architecture, hardware management protocols (Redfish, IPMI, BMC), firmware automation, scripting, and observability.

Role requires 5+ years of hands-on CUDA programming and M.Sc. or equivalent, strong GPU architecture and low-level C/C++ systems experience, and familiarity with GPUDirect RDMA, profiling tools (Nsight Compute/Systems) and GPU-aware communication frameworks. Locations listed include UK, Poland, Germany, Switzerland and remote. Poland base salary ranges provided: 292,500–507,000 PLN (Level 4) and 375,000–650,000 PLN (Level 5).

Lead technical engagement with startups and developers building agentic, multi-modal retail applications; help integrate NVIDIA software (NeMo, Nemotron, Nemo Microservices, Nemo Agent Toolkit, NemoClaw, CUDA) to improve performance, reduce inference cost, and accelerate production. Requires BS/MS or equivalent and 12+ years of experience in developer relations, AI engineering, startup technical roles, or technical alliances; strong proficiency in Python, Docker, Kubernetes, and Linux.

NVIDIA seeks a hands-on Director to define the technical vision and build a Retail & CPG industry platform using NVIDIA stack (NeMo, Nemotron, NIM, RAPIDS, cuOpt, etc.). The role requires 15+ years experience, 7+ years managing teams, strong developer expertise in AI agents, LLMs, RAG, data pipelines, distributed systems and GPU-accelerated solutions, and responsibility for delivering production-ready, performant, and reliable platform components while working with product, solution engineers, and partners.

Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

Work with sales, business and developer teams to support customers and developers in adopting NVIDIA libraries and GPU-based platforms for the energy industry. Requires MS/PhD and a minimum of 5 years' experience in AI/ML (including DL, NLP, or Generative AI) and industrial experience with power grid software and grid operations; strong skills in Python/C++, PyTorch/TensorFlow, GPU/accelerated computing, containers and distributed systems.

Join the Optical manufacturing engineering team in Chonburi to develop manufacturing strategies, oversee production of optical components, implement quality control, optimize processes, support NPI and R&D, maintain manufacturing documentation and SOPs, analyze performance metrics, and evaluate equipment. Requires 5+ years' engineering/manufacturing experience in the chip/semiconductor industry, strong Excel/PowerPoint skills, fluent English, and ability to attend the Chonburi site daily. Travel as needed.

Role to engage AI-native founders and engineering teams to design and scale AI platforms (LLMs, agents, multimodal systems) using NVIDIA stack (CUDA, TensorRT-LLM, Triton, NeMo, NIM). Requires BS/MS or equivalent and 5+ years in software engineering, dev rel, solutions architecture, or related roles. Base salary range listed in posting: USD 152,000–287,500 (varies by level).

Work on design, implementation and maintenance of system software enabling communication between GPUs for HPC and deep learning. Requires 5+ years experience, strong C/C++ skills, Linux and kernel knowledge, device driver interfacing, multi-threaded programming, and networking (Ethernet/InfiniBand). Salary ranges in posting: USD 152,000–287,500 (varies by level).

Lead the vision, strategy, and roadmap for source control systems and repository architecture used across hardware and software teams; partner with engineering to optimize developer workflows, ensure scalability and reliability for large-scale codebases, and define metrics to measure impact. Requires 12+ years product management experience and expertise with Git/Perforce and cross-functional leadership.

Lead and manage a team of compiler and performance engineers developing optimizing compilers for GPU code generation targeting Python, C++, and Fortran (including OpenACC/OpenMP). Requires 10+ years' software engineering experience, at least 4+ years of hands-on management, and a degree in CS/ECE or equivalent; familiarity with LLVM, compiler internals, GPU code generation, and performance measurement preferred.

Role to analyze and improve performance of NVIDIA's deep learning inference ecosystem (TensorRT, TensorRT-EdgeLLM, Torch-TensorRT). Responsibilities include benchmarking, performance analysis, implementing graph compiler algorithms, operators and code generators, and collaborating across teams. Requires a BS/MS/PhD or equivalent, at least 3 years' relevant software development experience, strong C++/Python skills, experience with DL frameworks and inference libraries, and performance optimization experience.

Validate industry-leading GPUs and SoCs, manage silicon feature validation and debugging, and work cross-functionally with ASIC, software, system, characterization and ATE teams. Requires BS/MS in EE/ECE/CS or equivalent and 10+ years of experience.

NVIDIA is hiring an Engineering Manager to lead and grow a team building production inference software for large and vision language models (LLM/VLM/VLA). The role requires hands-on technical leadership in kernel development, runtime and framework optimizations targeting NVIDIA GPU platforms, with strong experience in C++ or Python, LLM/VLM technologies, and at least 7 years of software engineering experience (3+ years technical leadership).

NVIDIA seeks a Principal Deep Learning Senior Engineer for end-to-end autonomous driving to design and train large-scale generative, imitation, and reinforcement learning models (LLM/VLM/VLA), integrate models with vehicle firmware, improve data generation strategies, and deploy production-grade ML systems. Requires strong Python and C++ skills, deep learning architecture knowledge, and extensive experience in AV/related fields (Master's +13 years or PhD +11 years).

NVIDIA is hiring a Senior Software Engineer for AI Storage to develop high-performance C++/CUDA libraries, optimize IO stacks and storage systems for GPU workloads, and work on object/file/key-value and vector database storage technologies. The role requires strong systems knowledge (Linux kernel, NVMe, filesystems), experience with cloud/virtualization/container technologies, and 7+ years of coding experience in languages such as C, C++, Rust, and Python.

Role involves collaborating with technical leads and design teams to implement high-speed/high-density ASIC packages, perform substrate breakout patterns, optimize pinouts, and handle placement, routing, stack-up and power distribution. Requires developing CAD libraries and methodologies to improve layout productivity; 5+ years PCB/layout experience and strong familiarity with Cadence APD/SiP and high-speed signal integrity practices. Located in the United States (hybrid/remote options).

Role involves defining/implementing chip pad rings and substrate interconnects, leading package layout design across multiple package technologies, and collaborating with circuit, signal integrity, RTL, place-and-route, substrate layout and system teams. BSEE or equivalent and a minimum of 8+ years in board/system design required. Preferred skills include package design, transmission line theory, power delivery, signal integrity, scripting (Perl/Python/Tcl), Cadence Skill, and Excel. Annual base salary ranges provided: 168,000–258,750 USD (Level 4) and 200,000–322,000 USD (Level 5).

Work involves researching and developing techniques to accelerate cloud service provider workloads on NVIDIA CPUs, GPUs, and interconnects; performing in-depth analysis and low-level optimizations with customers; and collaborating across software, tools, and hardware teams. Requires a Master's or equivalent, 8+ years' relevant experience, strong C/C++ (including CUDA) and parallel programming skills, and expertise in CPU/GPU architecture and performance modeling.