דרושים » הנדסה » HPC Operations Engineer

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIAs strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized.

What you will be doing:
Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
Identify architectural changes or completely innovative approaches in our cloud architecture and design.
Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!

We are looking for a Senior HPC and AI Cluster Administrator to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing

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. Does this sound like you? If so, we would love to hear from you!

What you will be doing:

Deploy, manage and maintain large scale HPC/AI clusters.

Managing Linux job/workload schedules and orchestration tools.

Support and maintain continuous integration and delivery pipelines.

Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level.

Supporting Research & Development activities and engaging in POCs/POVs for future improvements.

We are looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What youll be doing:

Design and develop an automation platform used to provision, configure, and monitor HPC data centers.

Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.

Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.

Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

Join our team as a Senior HPC software engineer. you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. Our mission is to leverage AI's power to build outstanding and pioneering solutions that have a significant impact on the world.

What you'll be doing:

Own the solutions you build, collaborating with cross-functional teams to successfully implement them.

Collaborate with various teams in a fast-paced environment to ensure seamless project completion.

Continuously improve solution provisioning and management through automation.

Detect performance issues and recommend solutions to maintain world-class service quality.

Conduct capacity management and planning to meet ongoing operational needs.

Participate in incident reviews, assist in root cause identification, and write RCA reports.

Deliver SRE solutions in a globally distributed, multi-cloud hybrid environment - AWS, GCP, and On-prem.

Participate in the team's on-call rotation.

We are seeking a DevOps Manager to lead a team of engineers in developing and supporting scalable CI/CD processes for our Networking products, enhancing global R&D efficiency. The role requires over five years of DevOps experience, leadership skills, proficiency with Jenkins, Git SCM, and programming in Python, Java, or Groovy. It involves collaborating with distributed teams to improve development methodologies and infrastructure. Preferred qualifications include experience with Linux system administration, containerization tools like Docker and Kubernetes, and managing complex infrastructure projects in fast-paced environments. Join us and help us to take our CI/CD infrastructure to the next level! You will have a unique opportunity to have a real impact in a dynamic, technology-focused company shaping the future of networking and data-center technologies. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What youll be doing:

Supervise a team of 4+ experienced and high motivated DevOps engineers.

Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

Build infrastructure for effective, high quality, reliable development and release processes for our products.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide 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, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

We are looking for a highly technical, customer-obsessed Senior Technical Leader to define and drive the usability, integration standards, and provisioning for these cutting-edge technologies. In this role, act as the technical champion for the DPU, ensuring our software stack and tools are robust, performant, and intuitive from day one. By bridging the gap between core R&D and real-world deployments, this position directly shapes how seamlessly the world's largest data centers adopt our platform.


What youll be doing:

Own the end-to-end BlueField and DOCA lifecycle, from out-of-the-box installation and configuration through field updates, provisioning, functionality, documentation, and performance.

Act as the essential bridge between R&D and the real world by collecting operational feedback from customers and internal stakeholders (developers, architects, integration teams, and QA).

Translate complex deployment friction points and customer pain points into actionable engineering requirements and architectural direction.

Perform hands-on prototyping, scripting, and system-level validation-installing the product, reproducing scenarios, and analyzing logs-to continuously elevate the platform.

Collaborate deeply with Core R&D, QA, and Solutions Architecture to guarantee new features meet strict usability standards.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

What you'll be doing:

Responsible for the full SCM environment including application, OS, and server hardware components, developing the continued automation and innovation needed for our large environment.

Create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide.

Be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support.

Lead or contribute to GitLab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes.

Learn and greatly improve the daily productivity of the worlds top chip designers and software engineers.