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Do you want to join a team of highly motivated and experienced project managers who drive the successful introduction of our next generation GPU/CPU based products? We work closely with internal leaders to ensure the Data Center Engineering & Operation (DCEO) team collaborate with SME to deliver datacenter capacity to provide the environment for our product team to achieve Time-To-Market. As part of the team, your knowledge of datacenter construction and project management will enable you to swiftly make the course adjustments needed to keep these complex projects on track!

What You'll Be Doing:
As the Senior Technical Project Manager, Datacenter, you will lead datacenter and superlab bring‑up programs, ensuring all MEP systems plus base network, security, and facility monitoring services are installed, tested, commissioned, and production‑ready.

Lead all aspects of program governance and multi‑project execution, driving alignment across global teams and time zones.
Gather SME inputs, including ROM estimates and final BOMs, to support design, budgeting, and procurement.
Direct cabinet installation, rPDU deployment, structured cabling, and rack‑ready infrastructure.
Coordinate WAN circuit design, ordering, vendor engagement, installation, and activation.
Facilitate architecture‑level technical discussions to align design intent, resource planning, and deployment strategy.
Ensure Site Acceptance Testing (SAT) and Integrated Systems Testing (IST) are completed with full documentation and SME sign‑off.
Drive continuous improvement by identifying workflow, process, and communication enhancements across distributed teams.

Join our powerful Networking Silicon engineering team as a Synthesis Senior CAD Engineer! In this pivotal role, you'll be at the forefront of developing the industrys advanced high-speed communication devices, delivering outstanding efficiency and minimal latency. This is your chance to architect, build, and improve advanced RTL to PNR tools, flows and methodologies using the worlds latest process technologies. Be part of a group thats driving technology forward and pushing the frontiers of development.

What you will be doing:

Methodology Deployment: Design and refine sophisticated Synthesis flows to meet ambitious Power, Performance, and Area (PPA) objectives.

Partner closely with upstream Front-End Design and downstream Place & Route (P&R) flows development teams. Define boundaries, resolve design constraints, and bridge systemic execution gaps.

Develop robust and scalable scripts using Tcl/Python to improve Flow Turnaround Time (TAT). Integrate next-generation capabilities such as AI/ML automation into production runs.

Serve as a subject matter expert and trusted representative for adjacent project teams. Provide proactive support, deep-dive debugging of complex tool failures, and formal synthesis training to build teams.

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

Plan and build complex cluster and supercomputers in various of data center and labs.

Rack stack and cable management to ensure efficient use of space and easy maintenance.

Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization.

Data centers and labs daily operation and support.

Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI.

Perform troubleshooting - network, optic cabling, bare metal, operating system.

Support Research & Development activities.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

We are looking for an excellent DevOps engineer to join the Switch and Firmware DevOps team and make a wide impact on the company products and teams worldwide. The role includes the development of cutting-edge design automation tools, build systems, and continuous integration systems. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving the needs of our customers through new and improved CI processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

We are looking for hardworking engineers who arent afraid of taking up new technologies, processes, and tools to make constant improvement in the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What youll be doing:

Develop and support CI processes of various products.

Coordinate with various teams across the globe to promote and improve CI practices.

Build infrastructure for effective, high-quality development and release efforts.

Be a part of an experienced team with a great atmosphere.

We are looking for a Director from the FE ASIC domain to lead the Design Technology team. The team is responsible for driving AI-powered engineering productivity and developing, supporting, and operating the systems, tools, infrastructure, and automation solutions that enable the work of the design and verification teams in the networking ASIC group. A key objective is to maximize engineering productivity, design quality, and execution efficiency by accelerating the adoption of AI-assisted workflows, scalable automation, and advanced design technologies, while continuously evolving engineering tools and flows to meet the rapidly changing needs of AI-driven development. This position offers the opportunity to think outside the box and make a real impact on a dynamic, technology-focused company.

What You'll Be Doing:

Lead managers and team leads.

Collaborate with project leaders to define strategy, priorities, and execution plans across strategic programs.

Drive the development, deployment, operation, and adoption of design technologies, engineering infrastructure, automation, and AI-enabled solutions that improve chip design productivity, quality, and execution efficiency.

Evolve engineering tools, environments, and workflows to meet the changing needs of AI-driven development and design engineering.

Ensure high-quality support and enablement for internal engineering users through training, documentation, troubleshooting, and continuous service improvement.

Partner with methodology and engineering stakeholders to drive adoption and continuous improvement of design and verification flows.

We are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for excellent people like you to help us accelerate the next wave of artificial intelligence.

We are looking for a skilled, creative, and highly motivated PHY System Engineer to join the End-to-End (E2E) physical-layer performance team, as part of the Post-silicon department.


What youll be doing:

Testing our Electro-Optical and Electrical chips and systems.

Link-level performance characterization, verification, and debugging.

Responsibility for complicated setups establishments, covering both optical and electrical components.

Characterizing optical and electrical performance using lab equipment and SW tools.

Take an active part in silicon bring-up while managing E2E testing of the newest ASICs, with the objective of driving product to mass production with first-in-class performance.

Characterizing products performance using lab equipment, such as oscilloscope, Spectrum/Network analyzer, Pattern-generator, etc.

Working in front of various test teams, with the responsibility of addressing issues and monitoring the test flows conducted by them.