NVIDIA is seeking a Senior Systems Software Engineer to lead performance engineering for large-scale GPU infrastructure. The role involves developing tools and workflows to validate and improve datacenter products, aligning AI workloads with datacenter builds, debugging firmware and software issues, and collaborating across hardware, firmware, OS, driver, and platform teams. Requires strong experience with CUDA, cloud/container architectures (Slurm and Docker preferred), C/C++/Python/Bash, systems architecture, and at least 8 years of applicable experience.

Manage and mentor a team of test engineers responsible for designing and implementing testing strategies for networking products. Requires 8+ years of software testing experience (including ≥3 years in leadership), strong technical skills in Git and Linux, experience with hardware/software integration and lab measurement equipment, and experience delivering large-scale automation solutions while collaborating with global cross-functional teams.

Join the team to develop test plans, automate test specification and execution for NVIDIA interconnect/networking products. Work across engineering functions to identify test requirements, debug hardware and software failures to root cause, build automation and tools for releases, deploy test solutions to production sites, and train/support personnel. Requires 3+ years' experience and proficiency in Python or other languages.

NVIDIA seeks a Senior Cloud Infrastructure/DevOps Solutions Architect to manage and automate large-scale HPC/AI clusters, design and deploy networking and storage solutions, develop CI/CD and automation tooling, and support customers (including Japanese-speaking customers) in troubleshooting and POCs. Requires 8+ years' experience in networking, data center architecture, Kubernetes, HPC job schedulers, Linux/Windows systems, storage technologies, Python, and automation tools.

Role centers on supporting manufacturing, quality, and failure analysis teams for GPU and networking products through NPI to high-volume production. Responsibilities include diagnosing and resolving hardware/system failures, developing failure analysis methodologies and test plans, driving corrective actions and design/process improvements, and providing technical training. Requires BS/MS (or equivalent), 5+ years in high-tech electronics (manufacturing, failure analysis, validation, or hardware debug), and strong English communication skills.

NVIDIA is hiring a Developer Relations Manager to engage developers, partners, and ISVs across APAC on Robotics and Generative AI use cases. The role requires 10+ years in technical leadership/architecting GPU-accelerated solutions, hands-on software architecture and programming experience, deep knowledge of Physical/Embodied AI, LLMs/Gen AI, NVIDIA SDKs (e.g., ISAAC, DRIVE, Omniverse, GR00T), and strong communication, project management and partner-collaboration skills. Some travel is required.

Join NVIDIA Research Singapore to research, design and accelerate generative AI models (including LLMs, visual generation, and robotics). Responsibilities include publishing research, collaborating across teams, mentoring interns and transferring technology to product groups. Requires 2 years' experience, strong research record (publications at top conferences), proficiency in Python (prototype), and familiarity with ML frameworks such as PyTorch; C++/CUDA and parallel programming are a plus.

Lead planning and execution of multidisciplinary Data Center deployment programs (evaluation to production), translate customer requirements into project plans, drive issue resolution, run engineering design reviews, and provide executive-level reporting. Requires 8+ years in high-tech electronics with deep Data Center program experience and fluency in Japanese and English.

Lead research and technical collaborations to advance quantum algorithms and applications, contribute to NVIDIA quantum products (including AI methods, simulations, and digital twins), drive partnerships with supercomputing centers and QPU builders, and publish/represent work at conferences. Requires PhD or equivalent and 5+ years' experience.

NVIDIA is hiring a Developer Relations Manager for ANZ to engage developers across startups, ISVs, enterprise and government to drive GPU-accelerated computing and generative AI adoption. The role involves ecosystem and partnership development, positioning NVIDIA software and SDKs (e.g., NeMo, Triton, RAPIDS), conference engagement, product feedback, and collaboration with partner managers, solution architects and sales teams. Requires more than 10 years of technical leadership experience and hands-on experience with generative AI and LLM ecosystems.

Role involves designing, developing and maintaining automated tests and infrastructure for networking switch and adapter products, collaborating with HW, ASIC and SW teams, supporting production test lines, and executing regression, performance, functional and security tests. Requires BSc/MSc in a relevant engineering field, 5+ years related experience, 3+ years Python, Git and Linux experience, and strong communication skills in English.

NVIDIA Production Support role based at a factory in Bac Ninh, Vietnam. Responsibilities include monitoring and controlling test yield, providing onsite tier-1 support for tests and test infrastructure, introducing and training new tests, conducting test debugging and failure analysis. Requires B.S. in Electrical Engineering or equivalent, a minimum of 5 years handling manufacturing line issues or production floor support, experience with hardware diagnostics/board design, and proficient English. Desirable skills: ICT/JTAG, functional testing, Linux, Perl, Python, and reliability tests such as Burn In, ESS, HASS.

Responsible for designing and implementing new NIC/DPU firmware features and protocols across product life stages, from pre-silicon to launch. Requires 5+ years C/C++ experience (embedded systems, binary network protocols), advanced English (C1), familiarity with Git/Gerrit, Linux, Bash/Python, and experience with test automation and debugging.

Lead NVIDIA developer strategy with product, engineering, research and marketing teams; prioritize services and applications for GPU acceleration; establish and run partnerships with CSP engineering and developer teams; integrate NVIDIA GPU acceleration into CSP applications; host and speak at industry events. Requires BS/MS/PhD or equivalent and 15+ years' experience in cloud, AI, scalable applications, data analytics and GPU technology.

Lead SMTA operations to implement and enforce NVIDIA quality and reliability standards, drive SMT/PCBA process improvements, perform DFx and process characterization for NPI and mass production, monitor KPIs, and manage EMS/ODM supplier performance. Requires BS/MS (or equivalent) in Electrical Engineering/Materials Science/Chemistry and 8+ years of PCBA/SMT experience, with strong signal integrity, quality, and supplier management expertise and English proficiency.

Work on a performance-oriented, low-level inference infrastructure using hardware offloads (GPU kernels, CUDA) and RDMA network cards. Requirements include ~8 years in modern C++/C/Rust development, ~3 years in Linux development, deep knowledge of TCP/IP, computer architecture and OS concepts. Advantages include experience with LLM inference stacks, distributed storage, Linux internals, low-level optimizations, parallel programming, HPC and RDMA.

Work with science and research institutes in Japan to promote and deploy NVIDIA GPU-accelerated solutions for machine learning and generative AI. Responsibilities include leading research collaborations, designing architectures and demos, creating and running proofs of concept, onboarding developers to NVIDIA AI platforms (NIMs, NeMo), and presenting technical topics. Requires 5+ years' experience in generative AI/deep learning, strong coding skills (Python, C/C++, Bash, Linux), and excellent Japanese and business-level English communication.

Develop and maintain automated verification for high-end hardware and software storage solutions, collaborating with R&D to improve test coverage, performance, quality and stability. Requires 2+ years scripting (Python/Bash) and Linux experience, familiarity with networking and QA automation; English (Upper-Intermediate/B2).

NVIDIA seeks a Solutions Architect (Data Science) in ANZ to enable GSIs and AI consultancies on generative AI and LLM solutions (Nemo/NIMs), build GenAI full-stack solutions, run PoCs/demos, and support GPU-accelerated deployments. Requires deep expertise in generative AI/LLMs, ML/DL frameworks, Python, GPU/parallel computing, container orchestration and 5+ years' related experience.

Role involves hardware and software verification/validation, improving test stability and coverage, executing regression/performance/functional/security tests, supporting production jigs and manufacturing, troubleshooting and optimizing test procedures. Requires BSc in electrical/computer engineering (or related) and 5+ years experience, programming in Perl/Python/C/C++, strong automation/scripting skills, experience with automated JIGs/fixtures, and English communication skills.