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We are now looking for a Chip Design Verification Engineer. NVIDIA is seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

We are looking for a HPC Lab manager 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 looking for a System Linux Administrator 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 system Linux administrator, 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:

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

Data centers and LABs daily operation and support.

Plan and build complex cluster and supercomputers.

Deploy monitoring solutions for the servers, network and storage.

Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.

Support Research & Development activities.

We are looking for an experienced HPC DevOps Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.

Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.

Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.

Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.

Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.

Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.

Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

We are looking for a creative and independent Test Engineer. Our high speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting End-to-End High-Speed Ethernet and InfiniBand Solutions We're looking to grow our company and build our teams with smart people who can join us at the forefront of technological advancement. We need a creative individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production.

You will be exposed to various aspects of design, DFT and test of NVIDIA network IC products, and will be responsible for definition and development of tests from wafer level to final test of Network-ICs. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about enabling of the highest quality Network products that will change the world, we want to hear from you!

What you'll be doing:

IC Test definition & development (including test/HW debug).

Designing and improving factory test plans (to improve coverage, time, cost, and yield).

Ensure scalable testing & manufacturing for high speed interfaces.

Direct our local and overseas manufacturing teams to transition new products to factories.

We are leading 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 groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our vision?

What you will be doing:

Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

Design and implement new communication technologies to accelerate AI and HPC workloads.

Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).

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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack.

Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available.

Triage and root-cause performance issues reported by our customers.

Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information.

Collaborate with a very dynamic team across multiple time zones.

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. We are 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 Senior 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:

End-to-End responsibility on the link level performance characterization, verification, and debugging.

Debugging of link issues of NVIDIA systems, while diving into the product HW design and SW/FW operation.

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

Take an active part in silicon bring-up while managing E2E testing of 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

Leading data-driven discussions about the product functionality and areas for improvement.

Testing NVIDIA Electro-Optical and Electrical chips and systems.

Defining testing requirements for new products based on electrical and optical specifications.