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We are looking for a Senior Network Engineer to join a dynamic, results-oriented team supporting InfiniBand and Ethernet fabrics in the most demanding data center, AI, storage, and HPC environments. As a Technical Support Engineer, you will be an approachable, proficient communicator who takes ownership of resolving issues while ensuring a high level of customer satisfaction. You will work closely with Engineering, Marketing, and Support teams on complex technical issues.

What you will be doing:

Tier 3 support for InfiniBand and Ethernet fabrics: installing, supporting, and resolving complex technical issues in large AI/HPC and storage clusters.

Troubleshooting end-to-end InfiniBand fabrics - subnet management (UFM / OpenSM), routing topology and congestion control.

Developing and presenting comprehensive technical solutions to customer problems, including project management of complex fabric installations.

Problem reporting, issue replication, and resolution management.

Responding to customer technical inquiries.

Site visits and conference calls with customers and partners.

Developing and refining internal processes to improve support efficiency and productivity.

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.

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.

Were looking for a Senior Data Engineer in the Data Collection Ingest team to contribute to the design and coding of our data ingestion services & pipelines. This role involves working as part of a team that handles millions of requests per minute across multiple servers, and is responsible for a wide-range of data pipelines, processing billions of events each day.
Why is this role so important?
As the most trusted platform for measuring online behavior, millions of people rely on our insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis. As a Data Engineer you will have the opportunity to perform hands-on work and own our raw data ingestion pipeline end-to-end. Your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.
So, what will you be doing all day?
Your role as Data Engineer of the Ingest Data Collection team means your daily responsibilities may include:
Design, code and manage end-to-end our data ingestion pipelines, both online and offline.
Take charge of developing & maintaining modern data infrastructure, while implementing best practices for building data pipelines.
Be responsible for high-scale ingestion services, solving challenges of availability, reliability, and scalability.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead design & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

We are looking for a driven and enthusiastic Senior VLSI Engineer to join our outstanding Networking Silicon engineering team! You will be joining our rapidly growing Interposer team-a highly specialized and deeply impactful domain shaping the future of advanced silicon packaging.

If you have a strong background in the physical aspects of VLSI but haven't worked with interposer technology before, this is a unique opportunity to pivot and learn a cutting-edge domain. You will join a highly experienced group of industry-leading experts, working on the most advanced technology nodes in the world. Come take part in designing our groundbreaking chips, and enjoy working in a meaningful, growing, and highly professional environment where you make a massive impact.

What You Will Be Doing:

Mastering New Technologies: Learning the intricacies of advanced Interposer technology, working shoulder-to-shoulder with highly experienced domain experts.

Meticulous Execution & Ownership: Taking a high level of ownership over interposer projects. You will act as the technical anchor, driving timelines, managing complex workflows, and ensuring highly accurate, detail-oriented execution.

Driving Physical Implementation: Overseeing the physical design and integration aspects of complex VLSI designs.

Cross-Functional Collaboration: Taking part in project definitions towards POR, working in close interaction with other domains such as Architecture, Front-End, Back End and Packaging

Problem Solving & Automation: Resolving complex technical challenges in groundbreaking technology nodes and taking an active part in flow and methodology development.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are now looking for a Senior Chip Design Engineer for the Switch Silicon group.

As a Chip Design Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation pioneering Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops some of the switch silicon core units.

Build reference models, verify and simulate chip blocks/entities according to specifications.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

our company is seeking an AWS Solutions Architect We are looking for a skilled AWS Solutions Architect to design, validate, and deliver scalable cloud solutions for enterprise customers. This role combines deep technical expertise with customer-facing consulting, helping organizations architect secure, resilient, and cost-effective AWS environments. This role requires strong AWS architecture experience, technical leadership capabilities, and the ability to translate business requirements into practical cloud solutions. A full-time hybrid position, based in Ra'anana, Israel. Key Responsibilities:
* Design and validate end-to-end AWS architectures aligned with customer business and technical requirements.
* Lead technical discussions and workshops with customers, engineering teams, and executive stakeholders.
* Produce architecture deliverables including HLDs, LLDs, architecture diagrams, SOWs, BCPs, and DRPs.
* Perform AWS cost estimations and architecture assessments using tools such as AWS Pricing Calculator and Well-Architected Reviews.
* Support migrations, modernization initiatives, and cloud adoption programs.
* Collaborate closely with delivery teams to ensure successful implementation of proposed solutions.
* Provide technical guidance and stay up to date with evolving AWS technologies and best practices.

Were looking for a Software Engineer to join our Data Collection Technologies team to contribute to the design, build, and maintain our Desktop data-collection extensions and client-side components. In this role, you will work as part of a team responsible for developing high-performance browser extensions ,desktop-level integrations and Mobile SDKs that power our data collection platform.
Why is this role so important?
As the most trusted platform for measuring online behavior, millions of people rely on our insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis.
As a Desktop Client-Side Developer, you will own and implement core components of our desktop & mobile data-collection technologies. Youll work hands-on to design, develop, and optimize our desktop clients and browser extensions, ensuring accurate, reliable, and high-quality data collection. Your work will directly influence the performance, stability, and integrity of the data that powers our products and insights.
So, what will you be doing all day?
Design and write (a lot of) high-quality, functional code of cutting edge SDK's, distributed on millions of devices (JavaScript , Kotlin, Swift).
Tackle challenges and find creative and innovative ways to solve them.
Determine feasibility & take part in decision-making by performing risk management and evaluating trade-offs.
Contribute to your team development velocity and quality confidence.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Perform code reviews, evaluate implementations, and provide feedback.

We are rebuilding the way chips get built, and were looking for a senior engineer to help lead that transformation.

This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.

Were looking for someone who has built complex systems before - across backend, frontend, and infrastructure - and is ready to set the technical direction for what comes next.

What You'll be doing:

Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day - while making key technical and build-vs-buy decisions.

Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.

Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.

Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.

Required Data Science Team Lead
About the Role:
The Data Science department plays a pivotal role in our company, generating value for us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of our product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of our challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to our product through your team's efforts.
What You'll Be Doing:
Lead and manage a team of 3-5 Data Scientists
Collaborate closely with the Dev, Product, and Analytics teams to implement and successfully integrate models and capabilities into production
Play a pivotal role in shaping the vision for the analytical capabilities of our core products
Constantly experiment with new ways to improve our product offering, including complex experimental design
Oversee the training of our strategic models
Lead the research and development of core product Machine Learning capabilities
Standardize processes and methods used within the team and group.