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We are looking for a Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more.

What you'll be doing:

You will design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

Engage with customers and architects to understand the requirements and derive the software design accordingly.

Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW.

We are looking for a Network/Storage Test Engineer to join our End-to-End Cloud solution team. You are going to be part of the E2E Verification team with the main goal of testing and be part of defining the most sophisticated Ethernet/InfiniBand NIC and Switch features and topologies, which build fast enablement for the products to meet growing market demands. The ideal candidate will engage in testing and defining of Networking industry-leading systems and will bring with him an ability of the fast learning of new features, technologies, and protocol.

What you'll be doing:

Contribute to design review and product features requirements under the whole Ethernet/InfiniBand NIC & Switch portfolio and AI network.

Design and build setup topologies for appropriate product coverage with an emphasis on an emulation of customer large scale / complex environments.

Design, mentorship for testing automation team, and implement tests for the new features, as part of our growing network switch and adaptors division.

Lead innovation approach by prepare and deploy different POC activities, based on the growing field demands.

Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team.

Execute end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity.

We are looking for a Data Center Team Lead with strong systems and networking knowledge, to lead the team that build and support the supercomputers and HPC-AI clusters of the networking clusters solutions group.

What youll be doing:

Lead and coordinate the planning and build of complex clusters and supercomputers across multiple data centers and labs

Manage for rack-and-stack, cabling, and space optimization efforts to ensure efficiency, maintainability, and standard processes

Lead all aspects of power and cooling efficiency strategies while ensuring optimal rack space utilization

Coordinate daily functions and maintenance of data facilities and test environments, ensuring seamless operations and timely problem resolution

Installation and integration of diverse infrastructure and solutions including Cloud, VMs, Storage, Network, HPC, and AI

Manage debugging activities network, optical cabling, bare metal, and operating systems

Collaborate closely with Research & Development teams to support evolving project needs and experimental setups

Mentor and develop team members, ensuring knowledge sharing, standard methodologies, and professional growth

We are looking for a Senior Data Engineer to join the manufacturing data Engineering team and help us craft data collection solutions, quality control methodologies and monitors, support data enlargement scale. As a Data Engineer, you will play a significant role in bridging the gap between machine learning and software engineering. Your primary responsibility will be to develop, deploy, and maintain the infrastructure, data pipelines and workflows required for the end-to-end solution collecting the data till loading to data warehouse. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!

What youll be doing:
Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement robust reliable data pipelines, infrastructure and workflows.
develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure flawless real-time and batch data processing.
Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.
Control, monitor and optimize worldwide production servers.
Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.
Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and standard methodologies to improve our data infrastructure, empowering data scientists and analysts alike.
Feed a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:
Develop shared verification code and solutions to be widely used by the chip design team.
Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.
Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.
Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.
Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
Collaborate with designers, verification specialists to accomplish your tasks.
Develop training sessions.