דרושים » חשמל ואלקטרוניקה » VLSI Design Automation Software 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 seeking an experienced and motivated CAD Engineer to join our CAD development team. We are looking for candidates with a strong hardware background and robust software skills, passionate about advancing the development and application of non-EDA tools for circuit analysis. This role involves deep studies of circuit behavior at both the standard cell (STDCELL) and block levels, and offers the opportunity to collaborate with multiple teams across our company.
What Youll Be Doing:
Develop and maintain CAD solutions for both transistor-level and block-level circuit analysis.
Conduct studies of circuit behavior at both STDCELL and block levels, informing tool development and design improvements.
Work with our company quality teams on transistor-level analysis to enhance circuit reliability and performance.
Work with other company teams to identify, develop, and deploy advanced CAD solutions addressing design challenges.
Engage directly with design projects, leveraging CAD tools to solve and improve complex circuit design challenges.

We are looking for talented and ambitious individuals to join our Yoqneam IC team.

Responsibilities:
The candidate will join our BE team, focusing on Full-Chip floor-planning, timing closure and integration, collaborating closely with frontend design, architecture, physical design, and analog teams. Additionally, the candidate will provide support to design teams across various methodologies and contribute to project execution efforts.
What will the candidate be doing
Lead Full Chip Layout activities & methodologies for a brand new SoC, from definition to Tape Out.
Floor Planning Top to Bottom & Bottom up FC, Sub System & Block level.
Involved in chip architecture, in close collaboration with the packaging, design & architecture teams. Exploring different floorplan structures to achieve both best area & ease of convergence.
Drive sign-off timing convergence for high performance designs at Full-chip and building block level.
Involved in definition of overall STA methodology, STA infrastructure and sign-off convergence flows, working closely with block owners throughout the project for sign-off timing convergence.
Work closely with EDA (Electronic Design Automation) vendors on latest tool feature development and qualification.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
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Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Design-for-Test Engineering team at our company works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing.
Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements!
What youll be doing:
You will be in charge of state of the art Design for Test/ATPG flows and implementation
Take full ATPG ownership end to end on a project, from Arch & planning to pattern generation, verification and post Silicon bring up and diagnosis.
Inventing and maintaining automation flows that provide the short test time to production.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

We are seeking a talented Software Architect. This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects.
Key Responsibilities:
Advanced Backend Development: Lead the development of scalable, secure, and maintainable backend systems using Python and frameworks like FastAPI.
System Design & Architecture: Architect robust backend solutions and design efficient RESTful APIs with asynchronous programming support.
Core Technical Strengths: Utilize deep knowledge of Object-Oriented Programming (OOP), asynchronous design patterns, and software engineering best practices.
DevOps & Containerization: Implement Docker for containerizing applications and Kubernetes for orchestrating microservices-based deployments in scalable, production-grade environments. Manage CI/CD pipelines and deployment automation.
Database Expertise: Design schemas, optimize queries, and manage data consistency across distributed systems using PostgreSQL and CosmosDB.
Quality Engineering & Testing: Write comprehensive unit tests, enforce code quality through peer reviews, and integrate test automation in CI workflows.
Technical Mentorship & Team Collaboration: Mentor junior developers, drive code quality, scalable design, and agile delivery. Collaborate effectively across DevOps, frontend, and product teams.
Agile Development & Ownership: Participate in sprint planning, backlog management, and stakeholder communication. Take full ownership of modules, ensuring timely and reliable delivery in Agile/Scrum environments.
Exposure to Agentic Flows: Leverage experience with agentic flows to enhance system performance and reliability.

we are looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for our companys IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions.
You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
What youll be doing:
Design, develop, and execute manual and automated tests as part of software stack releases.
Define, build, and manage testbed topologies for functional, regression, and performance validation.
Analyze architectural designs and feature requirements for new networking capabilities.
Debug failures, identify root causes, and verify fixes delivered by development teams.
Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.
Collaborate with cross-functional global teams including R&D, product marketing, and system verification.

we are looking for an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. we are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for an outstanding architect for a senior HPC, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. 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, 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 you will be doing:
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements.

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.