דרושים » תוכנה » HPC Operations Engineer

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 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 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.

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 Software Engineer to join the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our 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.

As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.

We are looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for our IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.

What youll be doing:
Design, develop, and execute manual and automated tests as part of software stack releases.
Define, build, and manage testbed topologies for functional, regression, and performance validation.
Analyze architectural designs and feature requirements for new networking capabilities.
Debug failures, identify root causes, and verify fixes delivered by development teams.
Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.
Collaborate with cross-functional global teams including R&D, product marketing, and system verification.

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

What youll be doing:

100% hands-on coding role in C language, kernel and userspace.

Research, design, implement and test, new and existing, networking features for distributed storage services and features of our block storage solution, in both Host and DPU environments.

Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.

Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

The Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with our partners and customers.