דרושים » תוכנה » PLM Tea, Lead (5671

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 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 Test Development Engineer to join our team. This role will work as part of a team driven by the development of NVIDIA's networking and interconnect products. Do you have a passion for automation development, test program development, code writing and looking for sophisticated and significant topics? We will be happy to have your skills on the team. You will handle various projects across teams, build test plans, automate test specification and execution. You will continuously innovate and develop scalable, reliable, high-performance systems and tools to enable the next generation of Interconnect products.

What Youll Be Doing:

Will work on projects across multiple functional teams from different geographies throughout the product lifecycle

Develop test plans, and execute testing via automation and manually for all supported hardware releases

Work with cross-functional teams across engineering, thermal, mechanical, and HW to identify test requirements

Develop automation and tools for NVIDIA hardware releases and test environment

Debug HW & SW failures in interconnect products, Isolate the problem, and get to the root cause

Design and build technical processes to address business issues

Deploy the test solution to the production sites and provide support if needed.

Train personnel on the required processes and operations of complex test systems.

Ensure all testing is being conducted in compliance with all safety protocols.

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 an outstanding passionate and talented Senior SW & Cloud Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security, virtualization and orchestration. You will be playing a vital role in cutting-edge datacenter networking and security solutions. In this role, you will play a key role defining the future of cloud solution stack, orchestration, provisioning, network programmability and SDN. Our Architecture group consists of world-class architects responsible for designing the next generation state-of-the-art architecture for our DPUs & NICs technologies. You will be working with various teams around the world including sw architects, R&D, product, solution architects and external customers. This position offers a unique and exceptional opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies.

What you will be doing:

Lead architecture for cloud based orchestration & provisioning solutions.

Design state-of-the-art system architecture for DPUs & NICs technologies.

Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification.

Evaluate new technologies, innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions.

Work closely with high profile customers and different teams around the world including SW & HW architects, R&D, product, solution architects, application and field engineers and more.

We invite an astute and forward-thinking Senior Software Architect to lead and incubate core technologies in our AI data center and network technologies. In this pivotal role, your strategic vision will guide the evolution of our comprehensive AI Cloud solutions, driving innovation in areas such as sophisticated host virtualization, groundbreaking fabric technologies, and coordinated orchestration. You will also stand as a key representative for NVIDIA, embodying our presence in significant open-source projects, key conferences, and standards committees. This role offers a rare opportunity to leave a significant mark on the AI industry and push the boundaries of technological progress.

What you'll be doing:

Assessing and integrating innovative technologies and forging partnerships to improve our technological trajectory and value.

Orchestrating new network application designs employing data plane programming to address intricate network challenges creatively.

Engaging with collaborators through customer interactions, authoring thought leadership content such as white papers and blogs, and delivering presentations at industry events.

Crafting a coherent strategic direction for NVIDIA's network solutions in collaboration with software and hardware architects.

We are looking for a versatile Senior Software Engineer for the DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries.

Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs.

Assisting world-wide teams with various customers' and internal DPU projects.

Tackle complex system-level optimization and resource utilization challenges.

Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance.

Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

We are looking for a team lead to join the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Lead a small team of software engineers (2-3 developers).
Design and develop verification infrastructure to ensure the reliability, functionality, and quality of the DOCA SDK.
80% hands on development in python.
Provide technical leadership, mentorship, and guidance to the team.
Ensure high-quality code through code reviews and best practices.
Provide guidance and support to team members, fostering their professional growth and development.

We are seeking a highly prestigious and impactful AI Networking Optimizations Architect to join our Networking Insights group. In this strategic role, you will serve as the critical bridge between AI architects, product and marketing teams, and our world-class architecture and engineering groups. To convert real-world AI workload challenges into actionable optimizations and new directions for our networking solutions, ensuring we remain the leader in AI-driven networking.

What you'll be doing:

Proactively locate and interview internal and external AI users whose outside traditional networking domains-to identify optimization opportunities and unmet needs.

Collect, analyze, and synthesize input from marketing and product teams, translating them into clear, actionable challenges for relevant architects.

Lead and champion special networking optimizations for AI workloads, and innovative use cases for emerging AI paradigms.

Collaborate closely with the application networking team and deep learning architecture group to evaluate proposed optimizations in simulations, and modeling.

Support and guide the optimization process for future networking products, ensuring our products set new industry standards.

Continuously track breakthroughs in the AI landscape, to identify disruptive trends and opportunities as early as possible.

Perform initial quantified evaluations of optimization ideas, developing compelling, data-driven cases that motivate leadership to invest in new directions.

Our Networking product security team is looking for an outstanding technical AI safety researcher with hands-on experience to help us improve the safety posture of AI systems and their infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:

Participate in defining and ensuring AI development processes meet safety standards.

Drive hands-on safety research on a wide range of AI and networking products.

Build tools and processes to expose weaknesses in AI systems and preempt threats.

Partner with cross-functional teams to understand needs and implement solutions.

Be a technical focal point across multiple development and networking teams and provide hands-on AI safety and engineering expertise.