דרושים » הנדסה » principal Storage software engineer - dgx cloud

We are is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo, our NIXL and our UCX, tailored to the unique requirements of AI workloads.

Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.

Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.

Lead proof-of-concept development to evaluate and drive such technologies.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. 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. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. 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 an inclusive, supportive 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 world.
we are a fast-growing world leader supporting the most powerful supercomputers worldwide. our networking products lead the industry and connect thousands of gpus. we make outstanding artificial intelligence possible through innovative networking and computing integration. we value our people and seek excellent individuals to join us! we are looking for an experienced packaging, technology and manufacturability expert to help us build the next generation of networking products. our networking devices depend heavily on advanced packaging methods like chiplet integration, 2.5d interposers, and co-packaged optics. packaging choices influence schedule, cost, and yield equally with the silicon. we are looking for a packaging and manufacturability lead who will own the package technical view across our chip programs. this role partners with the advanced technology group to push technology limits in future products. joining an outstanding team, you will highlight package risks early, bring manufacturability into design choices before they are fixed, and find co-design approaches that improve module yield. join us in making an impact on all networking products and pushing the boundaries of technology.
what you'll be doing:
lead the technical assessment of package risk across our chip programs - identifying failure modes in substrate, interposer and assembly integration before they reach silicon, quantifying their cost and schedule impact, and bringing them to program and technology reviews with a clear position
drive new approaches to manufacturability across the board (package, substrate, interposer, silicon), spanning yield improvement, capacity and supply review, TEST strategy, thermal and assembly process maturity. push co-design levers such as tolerance relaxation by design, testability before attach, design margins, and redundancy and partial-module recovery
analyze module yield mechanics, reconcile predicted versus actual yield on units returning from assembly, and convert the findings into concrete design guidance
evaluate emerging packaging and photonics technologies, including outside partner solutions, and define our product requirements - working closely with our advanced technology group.

we have been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, we are looking for a distinguished engineer to help shape the future of ai infrastructure. as part of our advanced development and research efforts, you will drive technical vision and innovation across the ai software stack, spanning gpu computing, rdma, nvlink, Storage, and large-scale distributed systems. you will research next-generation system designs, influence product and platform direction, and help define how massive-scale ai environments are built, optimized, and operated through hardware-software co-design.
what you'll be doing:
research, define, and drive co-design solutions across ai software stacks involving gpu computing, rdma networking, nvlink interconnects, Storage, and large-scale distributed infrastructure
lead deep technical investigations and proof-of-concept development in areas related to distributed ai, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design
work closely with multiple teams across the company to advance next-generation ai infrastructure technologies and influence cross-stack co-design decisions
analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and Storage layers to improve performance, scalability, and efficiency
guide the design of environments that support massive-scale ai training and inference workloads in production
 we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

we are a leader in computer graphics, pc gaming, accelerated computing, and ai. within the company, the networking business unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. the bluefield data processing unit (dpu) and our connectx series of smartnics ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, Storage, and security services.
we are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux Kernel and container networking, network functions virtualization (nfv), and related areas to join our team and work on innovative offload solutions. you will develop software for various networking offload and virtualization use cases as well as data forwarding on ethernet switching platforms. you will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.
what you'll be doing:
design, develop, TEST, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
design, develop, TEST, and maintain system software components related to networking.
work on data forwarding functionality on ethernet switching platforms.
lead and guide cross-functional teams on large feature development activities.
collaborate with team members, architects, QA, and support teams on feature definition, development, release, and bug fixing.

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 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.

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

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 an excellent software engineer to join the infiniband switch and nvlink fw group in tel-aviv / raanana. as the team member, you will be part of a major development effort for the next-generation networking products. the verification team develops cutting-edge networking features for cloud, hpc and Storage. we drive the data growth of the world's biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what you will be doing:
as a senior software engineer you will part of a group of firmware Verification engineers, using your expertise in C ++ and Python in an agile methodology.
develop the verification process, aligning with quality standards and project timelines.
design and implement new features in the core of our switch and gpus
drive and facilitate the planning, scheduling, and execution of the project and activities of the team
collaborate with architecture and different software design teams as part of the software development lifecycle.
work in pre and post-silicon development environments of next-generation networking products.
gain a deep understanding of networking technology, system debugging and stacks, as well as the hw/fw/sw relationship.
innovate! bring our fw switching products to shine in customer's view

our performance group is seeking a technical nic & dpu performance research & analysis engineer to drive end-to-end performance strategy, characterization, optimization and hw offload accelerations for next-generation network interfaces and data processing units (dpus).
in this role, you will analyze and accelerate critical networking and Storage technologies and protocols powering multi nodes ai clusters. you will profile performance across the complete hardware-to-software execution stack-stretching from dpu arm cpu subsystems and pcie to high-speed rdma, spdk, and doca acceleration pipelines.
what you'll be doing:
data -path optimization: drive end-to-end benchmark plans, performance characterization, expectations and optimizations for nics and dpus deployed in distributed ai and cloud data centers.
Full-Stack profiling: profile low-level memory, pcie, host cpu, and dpu asic execution paths to identify micro-architectural stragglers, queue bottlenecks, and tail-latency outliers.
Storage & network acceleration: hands-on acceleration and offloading of Storage (spdk, nvme-of, virtio) and networking protocols (rdma/rocev2, tcp/ip, doca).
ai-assisted workflow automation: leverage ai agents, autonomous scripts, and automated regression frameworks to scale continuous performance evaluation.
cross-functional rca: partner closely with architecture, asic, firmware, and software engineering groups to conduct rigorous root cause analysis (rca) and establish performance targets for upcoming pre- and post-silicon platforms.