דרושים » הנדסה » HPC and AI Data Center Engineer

we are looking for an experienced HPC DevOps and Network 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.
Develop complex Networking automations.
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 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 building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineersempowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.
We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent our company in open-source projects, technical conferences, and standard development organizations.
What you'll be doing:
Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.
Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.
Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.
Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What you'll be doing:

Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.

Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.

High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.

Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.

DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.

multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are seeking a passionate and innovative Senior Software Engineer with expertise in enterprise and data center networking to join our Cumulus Linux team. Cumulus Linux is a leading open-networking operating system and a cornerstone of the AI Factory - the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. As part of the team, you will design and implement core features of Cumulus Linux that enable the worlds most advanced data centers. You will work closely with cross-functional architecture and design teams, shaping the future of our networking technologies while gaining hands-on experience across our hardware and software ecosystem - from advanced networking ASICs to large-scale distributed systems.

What you'll be doing:

Design, develop, integrate, and test data forwarding and routing features in our Cumulus Linux.

Enable our Cumulus Linux on next-generation ASICs.

Work collaboratively with team members, product managers, architects, QA, and other engineering teams to deliver high-quality solutions.

Innovate and rapidly develop proof-of-concept (POC) prototypes that can evolve into fully developed products or solutions.

Engage closely with customers to understand their challenges, use cases, and deployment strategies, and devise innovative solutions.

The company 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, 5G NR 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 company 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 company partners and customers.

We are now looking for a TensorRT-LLM Software Development Engineer! We are hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the iPhone moment for AI. Join the team which is building the inferencing software which is foundational to product lines within us and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance.

Performance analysis, optimization, and tuning for Large Language Models (LLMs)

Conduct unit tests and performance tests for different stages of the inference pipeline.

Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM.

Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software for LLM inference.

Collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

We are looking for Senior Software Engineer to join the Cumulus Linux team! We present you with an opportunity to be part of the team that develops the Network Operating System that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. You'll be part of a software development team responsible for defining and implementing core platform services, as well as Reliability, Availability and Serviceability features for Cumulus Linux, the Debian-based operating system for our market-leading Ethernet switches.

What you'll be doing:

Design and develop software for Cumulus Linux operating system (OS) which runs on our portfolio of data center switches.

Work on bringing up Cumulus Linux on next generation our switches.

Develop and maintain software in Python, C and Shell for our OS.

Collaborate with product, architecture, and engineering teams to deliver features on Cumulus Linuxs roadmap.

Debug and resolve issues reported by test and customer-facing teams.

Work with open source software that is part of our OS and fix issues as and when they are raised.