דרושים » תוכנה » Senior HPC DevOps Engineer

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 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 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 seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

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 hiring a Solution Architect to customer-facing teams supporting different technical areas such as IB/ETH networking, DPU, Cloud infrastructure DevOps, HPC/AI workloads, and customer success. In the process, you will have the opportunity to become a specialist in our enterprise products including the DGX/HGX systems, and networking DPUs and switches, as well as our developer software platforms including our Omniverse, our HPC and AI. It may also be possible to rotate with our program management or engineering teams. Are you ready for the challenge?

What youll be doing:
Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using our technologies.
Partner with Build and Program Management teams to support AI Factory deliveries globally.
Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues.
Work closely and collaborate with the customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments.
You will raise and provide timely advance warning of critical customer issues that require additional attention.
Present platform solutions to customers, partners, community, etc.
Some rotation assignments might require up to 15% travel.

Our Infrastructure Specialists team seeks an Infiniband Network Engineer to help customers realize next-generation data center networks. You'll join a team working around the globe to build and deploy some of the most cutting-edge data center solutions in the world! This role will focus on automation and logical configuration of network devices and customer networks. We work with customers of all sizes, from small networks up to the world's largest and most sophisticated data centers and supercomputers. AI Factory Network Engineers deliver the technologies, solutions and services customers need to efficiently implement and run their networks. In this role, they are "The face of us to the customer," working in fast-paced, high-impact environments as meaningful contributors delivering on our commitments.

What you'll be doing:

Primary responsibilities will include building AI Factory infrastructure for new and existing customers.

Support operational and reliability aspects of large-scale AI clusters with a focus on performance at scale, real-time monitoring, logging, and alerting.

Engage in and improve the whole lifecycle of servicesfrom inception and design through deployment, operation, and refinement.

Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

Be the focal point for any networking-related escalations. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

We are seeking a Senior Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:

Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.

Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.

Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process.