דרושים » חשמל ואלקטרוניקה » VLSI CAD Engineer

We are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!

What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

We are looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design).

Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues.

Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks.

Taking part in flows development and deployment.

We are looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing physical design, synthesis, STA and Logic eq methodologies for implementation of networking chips and SOCs.

Work closely with block owners. full Chip STA engineers and project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips.

Additional responsibilities include participating and developing flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

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.

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

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

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

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

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

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

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work on the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.

What you'll be doing:

Develop innovative SW solutions.

Take part in defining methodologies affecting design and verification engineers day to day work.

Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches.

Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

We are looking for a versatile Senior Software Engineer for the DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries.

Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs.

Assisting world-wide teams with various customers' and internal DPU projects.

Tackle complex system-level optimization and resource utilization challenges.

Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance.

Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

Our Networking Clock design team is looking for experienced top notch ASIC design engineer to work on next generation of our Networking chips. We're looking for profound and multi-disciplinary background in Clock design domains to lead Clocks Micro-Architecture activities. This role requires working with multiple teams as Architecture, IP, Physical design, Timing and Post-Si teams. Complexity of clocking scheme has grown substantially over recent chip generations with increased focus on performance, power and quality. Modern Clocking design needs to balance high frequency clocks with power, DFx, noise, circuit and physical design constraints.

What you will be doing:
Working on next generation of Networking Switch, NIC and SoC products.
Micro architect and design next generation clock topologies and modules.
ASIC Clock scheme definition.
Improve Power, Performance, and Area (PPA) of state-of-the-art chips by evaluating trade-offs across DFx, Physical Implementation, Power Optimization and Ease of timing closure to innovate and implement new Clocking topologies in RTL.
Collaborate with Physical design and timing team to evaluate Clocking concerns and come up with solutions for supporting high speed Clocking.
Understand physical aspects of the chip and develop enhanced clock distribution techniques.
Get involved in end-to-end cycle of ASIC execution starting from micro-arch, design implementation, design fixes, sign-off checks and all the way to Silicon bringup.
Support Post-Si debug, characterization and productization activities.

We are looking for an experienced HPC DevOps 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.

Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.

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 experienced HPC DevOps 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.

Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.

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.