דרושים » הנדסה » senior hpc ai cluster engineer

we pioneered accelerated computing to tackle challenges no one else can solve. our work in ai and digital twins is transforming the world's largest industries and profoundly impacting society. it's a unique legacy of innovation that's fueled by great technology-and amazing people. today, we're tapping into the unlimited potential of ai to define the next era of computing. doing what's never been done before takes vision, innovation, and the world's best talent. as a member of our team, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
our networking is looking for a networking ai/hpc clusters infrastructure director to join ncs group. in this role, you will build, manage, and maintain the biggest cluster in our networking r&d to validate and TEST next-generation networking platform for ai technology and reference architecture that are being released to our customers. we are currently working on next generation vera rubin gpu platform ai clouds and factories with our xdr (800g infiniband) and spectrumx1600 next generation technology. come join the team and see how you can make a lasting impact on the world.
what you'll be doing:
lead a group that is responsible for building, managing, and maintaining networking engineering clusters composed of Linux, x86 and arm cpu, gpu, ethernet, and infiniband technologies.
work closely with the engineering and architecture teams to understand, plan and build new clusters for validating and testing new networking technology solutions.
drive the design and implementation of automatic systems to deploy, configure, maintain, and monitor these clusters.
drive the design and implementation of resource management systems for multiuser environments with different needs on these clusters.
manage r&d lab including inventory, power, space, and cooling.
build, expand, and mentor the team to address growing demands and requirements.
innovate! influence on our networking cluster management tools to shine in customer's view.

We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for our next-generation data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for our next-generation AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of our DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across our next-generation data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.

We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.

We are looking for a passionate and talented SW & System 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. 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 play a key role defining the future of cloud solution stack, from HW to Application level, including orchestration, provisioning, network programmability and SDN. 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-networking including orchestration, provisioning and security solutions.

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

Build end-to-end solutions from application level to HW.

Responsible for writing effective, clear and reliable architecture specification.

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

Work closely with different teams around the world including sw & hw architects, R&D, product, solution architects, application and field engineers and more.

Work with high profile customers on advanced and future technologies and solutions.

we are powering the world's most advanced ai factories. keeping them running depends on our ai ops platform for large-scale ai infrastructure - continuously ingesting telemetry from gpus, nics, switches, and links across the fleet, and delivered both as a high-scale saas service and as self-contained on-premises software for enterprise customers.
we are looking for a senior software engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of gpus. this role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness.
what you'll be doing:
build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards.
own deployability across kubernetes, cloud, on-prem, and restricted or air-gapped environments.
design and improve the mechanisms that make the system installable and supportable at scale: helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling.
partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400.
improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments.
turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies.
help evolve the platform from legacy deployment models toward a modern kubernetes-based operational model.

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 our 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 seeking a senior firmware engineer to join our nic firmware team and help shape how firmware is built using ai. you will be part of a team rethinking firmware development from the ground up, applying ai and automation to create smarter, faster, and more scalable infrastructure for our next-generation network adapters and supernics. these devices power the world's largest ai factories and data centers, and the infrastructure you build will speed up how we design, validate, and deliver them. we are looking for a creative problem solver who questions how things have always been done, sees opportunities others miss, and enjoys turning bold ideas into practical solutions. you will work at the intersection of low-level firmware, networking hardware, and ai, alongside talented engineers across firmware, software, architecture, and ai teams.
what you'll be doing:
design and build ai-driven infrastructure, tools, and workflows that change how firmware for next-generation network adapters is developed, validated, and released
identify bottlenecks in the firmware development lifecycle and solve them with creative, unconventional approaches using ai, llm-based agents, and intelligent automation
explore and prototype new ideas quickly, evaluate what works, and turn successful concepts into robust solutions adopted across teams
apply deep firmware and system knowledge to make sure ai-driven solutions are grounded in the real behavior of low-level hardware and software
collaborate with firmware, software, architecture, and ai teams to define new methodologies and set the technical direction for ai adoption in firmware engineering
act as a technical leader and influence engineering culture by sharing knowledge, challenging assumptions, and inspiring others to think differently.
we are widely considered to be one of the technology world's 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! we are dedicated to encouraging a diverse work environment and is an equal opportunity employer. we value diversity in our employees and do not discriminate in our hiring or promotion practices based on various characteristics protected by law.

Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

We are looking for a Technical Support Engineer dedicated to supporting Slurm for our customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalable clusters. This role requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and the surrounding Linux, networking, storage, authentication, database, and GPU infrastructure.

What you'll be doing:

Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters.

Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability.

Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints.

Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required.

Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.

Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents.

collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports.

Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization.

we have been elevating computer graphics, pc gaming, and accelerated computing for more than 25 years. today, we're tapping into the unlimited potential of ai to define the next era of computing. as a member of our team, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. come join the team and see how you can make a lasting impact on the most groundbreaking technologies.
our networking bu group is seeking to hire an expert firmware design engineer for the ethernet switch firmware core team. the next generation of switches are a crucial component of the most innovative ai and cloud computing networks in the world. as a member of the ethernet firmware team, you will craft and develop the firmware abstraction layer in the eth switch. this role will require you to participate in the design & development of firmware while working closely with hardware and architecture team to ensure timely delivery of our products to the market.
what you'll be doing:
highly involved in the entire software development process from architecture to integration testing of firmware for the spectrum asic product line.
work with hw & asic team to provide insights into developing the next gen of the groundbreaking of silicon and systems.
design and implement algorithms to improve system scale and performance.
work with higher layer software teams to debug issues reported by customers (internal and external).
design, implement and integrate new features according to the product roadmap.
have a new insight on how to improve our software? why not! bring your ideas to life by innovating during our hackathons
collaborate with other r&d teams around the globe.