דרושים » תוכנה » Senior AI Network Simulation Software Engineer

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Engineer to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

We are looking for an excellent Software Manager to join the Switch SDK Group and lead a team of powerful software engineers. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of our products and technologies. We have been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.

Today, were 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 whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, 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.

What you'll be doing:

Leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution.

Developing and implementing our Ethernet SDK with a focus on high-performance and reliability.

Collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions.

Following established guidelines and standards to ensure the delivery of high-quality products.

Continuously striving for excellence, improving team performance, and driving innovation.

We are looking for an excellent Senior Firmware Engineer to join the FW group in Tel-Aviv / Raanana. As a Senior Engineer you will be taking part in designing, implementing and leading major development firmware features, delivering the next-generation data center products who lead the AI revolution.

The Firmware team develops cutting-edge networking features for cloud, HPC and AI. 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 you will be doing:

Collaborate with architecture and different software design teams as part of the software development lifecycle.

Design and implement new features in the core of our firmware.

Work in pre and post-silicon development environments of next-generation networking products.

Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship.

Innovate! Bring our FW NVLINK products to shine in customers view.

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 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 are looking for a talented AI Solutions Engineer to join our innovative AI team. In this role, you will act as a bridge between our AI capabilities and internal customers, helping teams effectively adopt and integrate cutting-edge AI based solutions. Our team develops advanced AI applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more. You will play a key role in ensuring these technologies deliver real value by working closely with users and contributing hands-on development. We are looking for a motivated teammate who enjoys working with technology, people and developing new capabilities.


What you'll be doing:

Lead technical engagements to showcase AI capabilities and demonstrate best practices.

Support integration of AI solutions into existing systems and workflows.

Guide users on how to effectively use AI tools and platforms to maximize impact.

Develop and customize AI solutions (e.g., RAG pipelines, LLM-based applications, evaluation, agents, etc.) based on customer use cases while ensuing high reliability.

Troubleshoot technical issues and provide hands-on support during onboarding and adoption.

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.


Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

The Networking Application Engineering team is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across םור R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers.

What You'll Be Doing:

Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs.

Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences.

Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly - reducing time-to-resolution and maintaining platform quality.

Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations.

Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification.

Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions.

We are seeking a motivated Senior System Validation Engineer to join our growing post-silicon validation team in Israel and support next-generation connectivity products for AI and data-center applications.
In this role, you will perform system-level post-silicon validation, characterization, and debug across silicon, hardware, firmware, and software. You will support silicon bring-up and PVT/corner testing, develop and execute functional and system validation tests, analyze results, and work with cross-functional teams to identify and resolve complex system issues.
This is a highly hands-on lab position. The primary location is Haifa, with temporary support at the Ramat Gan lab as needed.
Key Responsibilities:
Develop and execute post-silicon functional and system validation from silicon bring-up through production readiness.
Run PVT, silicon corner, stress, characterization, and qualification testing across a wide range of operating conditions.
Develop validation tests to verify functionality, performance, stability, power, and operating margins.
Debug issues across silicon, hardware, firmware, drivers, and system software.
Validate high-speed interfaces such as PCIe, CXL, Ethernet/SerDes, and DDR, as well as common system interfaces.
Develop Python scripts and automation to improve validation coverage, regression, and test efficiency.
Analyze validation data, identify issues and trends, and drive problems to root cause and closure.
Work closely with hardware, architecture, firmware, software, design, and DV teams to investigate and resolve issues.
Support the transition of new silicon from initial bring-up to a qualified, production-ready product.
Operate system platforms and laboratory equipment to support validation and debug.
Document test results, issues, root cause, and recommendations and communicate findings clearly.