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Join the Cisco Silicon One Front-End Design Verification team, responsible for validating the most advanced networking silicon in the world. Our team ensures functional correctness, quality, and reliability across the entire design flow. We combine state-of-the-art methodologies with a collaborative, startup-like culture, while being backed by the stability and resources of Cisco.

Your Impact

Develop advanced verification environments using SystemVerilog and UVM
Write, run, and debug testbenches to ensure complete functional coverage
Drive pre-silicon and in-lab debug activities to resolve complex issues
Collaborate with RTL, architecture, and physical design teams to achieve design closure
Support methodology development, scripting, and automation to enhance productivity
Contribute to the success of Cisco Silicon One, powering the next generation of Internet infrastructure

Meta Tel Aviv is hiring Engineering Managers to lead rapid scaling internationally. We want the most creative and experienced engineering leaders to join us in giving people the power to build community and bring the world closer together. We are looking for Software Engineering Managers with progressive technical experience, a demonstrated progression of management scope and a passion for managing outstanding engineers in a fast-paced environment.
Software Engineering Manager, Tel Aviv Responsibilities
Be a highly technical, hands-on and an effective people manager
Mentor and support engineers' growth and success, help them to find and focus on their strengths
Lead and guide engineering culture to form a high performance team
Communicate across functions and drive engineering initiatives
Participate in technical design
Be a subject matter expert in a product domain
Define and influence product strategy
Maximize efficiency in a constantly evolving environment where process is fluid and creative solutions are the norm
Contribute to the overall maturity of deployment and other processes

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build the next generation of products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Complete large features (each with many tasks) and responsible of areas in the system independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer - Infrastructure Responsibilities
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Establish self as an owner of a particular component, feature or system with expert end-to-end understanding
Successfully completes projects at large scope while maintaining a consistent high level of productivity

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred Qualifications

Job Summary
We are seeking a highly skilled and motivated System Engineer with a strong background in optics to join our multidisciplinary engineering team. This role involves leading the design, integration, and validation of complex optical systems within high-performance platforms. The ideal candidate will hold at least a Masters degree in Optical Engineering, Physics, or a related field, and have 5+ years of hands-on experience in system-level engineering and optical design.

Key Responsibilities

Lead system-level design and integration of optical modules and subsystems.
Perform trade-off analyses, error budgeting, and cost-performance evaluations.
Collaborate with cross-functional teams to define system requirements and translate them into technical specifications.
Design and simulate optical systems using tools such as Zemax, CodeV, or LightTools.
Develop and execute test plans for optical performance validation and calibration.
Troubleshoot and refine optics modules and manufacturing processes.
Document system architecture, design decisions, and test results.
Mentor junior engineers and contribute to technical leadership within the team.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.

PEs work across Metas product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.

Our PEs are embedded in teams across the spectrum from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds.

Working alongside some of the best engineers in the industry, youll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily solving problems at a scale few others face.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of Metas underlying infrastructure and network
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred Qualifications

KLA-Tencor has manufacturing sites across the globe, including Belgium, China, Germany, Israel, Singapore and Milpitas (CA).The Global Operations (GOPS) team, comprised of Manufacturing, Supply Chain Management, Manufacturing Engineering, Installation, and Quality, is responsible for manufacturing our leading-edge technology.We partner with our world-wide supply base and our design engineering teams to bring new products to market.  The GOPS team is continuously working to build our products Better, Faster, Cheaper.

The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The division consists of a global team located in US, Israel, China, and India.

As integration Engineer You will be part of manufacturing group and you will Build and qualify innovative tools for the semi-conductor industry worldwide!

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions