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We are looking for an excellent Firmware Verification Engineer for our FW PHY verification Group. The person will be part of FW PHY verification of our Products. Will closely work with our FW PHY development, architecture teams and gain deep understanding of our products and technologies.

What you'll be doing:

Own the responsibility for delivering Networking features and their verification aspects.

Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.

Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.

Innovate! Bring our product to next quality level

We are looking for a talented and driven Senior Full-Stack Developer to join our team. This is a unique opportunity to work on a large-scale, high-impact systemone of the top 10 largest in Israelleveraging modern technologies in an agile and dynamic environment.
Key Responsibilities
Design, develop, and maintain end-to-end features in a high-scale, high-performance SaaS-based multi-tenant environment.
Take part in architectural and technical decision-making processes for both backend and frontend components.
Collaborate closely with Product, UX, DevOps, and QA teams to deliver high-quality, scalable, and maintainable software solutions.
Optimize application performance and ensure high availability and responsiveness across the system.
Contribute to a culture of innovation, continuous improvement, and engineering excellence.
This role offers an opportunity to work in a dynamic, agile environment, using modern technologies to shape a product used by thousands of organizations worldwide.

We are a World Leader in AI Computing and Data transportation Technologies, and we are now looking for a Software Technical Program Manager for Quality Control Team in our Yokneam offices! We are looking for a bright, focused, analytical and motivated person with a good knowledge of SW PLC and development methodologies. The candidate will need to ensure the Networking SW is delivered on time and in high quality, by executing and tracking of quality improvements workstreams. As a Software Technical Program Manager, you'll work with all Networking SW departments to ensure excellent standards and execution of Software Products Quality. At this position youll be also working with our worldwide support teams, internal engineering, and production groups, hardware teams, and Program Management groups.

What youll be doing:

Responsible for scheduling, planning, and controlling action items and delivery process.

Design, develop and lead champion SW processes and methods to improve software quality.

Driving software quality from concept to release delivery via specific KPI's and quality targets

Responsible for tracking and analysing customer quality incidents, working with other engineers and managers to improve methods to prevent reoccurrence of issues.

Responsible to ensure organization's commitment to quality and adherence to quality methodologies and processes.

Drive Quality process improvement initiatives to reduce customer issues and increase quality mindset of the engineering teams
Define and improve process, guidelines, checklists across various SW group.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIAs data centers and the optimization of NVIDIA networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.

We are looking for an excellent SW Engineer to join the InfiniBand Switch and NVLink Core FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What you will be doing:

As a SW Engineer, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology.

Develop the verification process, aligning with quality standards and project timelines.

Design and implement new features in the core of our Switch and GPUs

Drive and facilitate the planning, scheduling, and execution of the project and activities of the team

Collaborate with architecture and different software design teams as part of the software development lifecycle.

Work in pre and post-silicon development environments of next-generation our networking products.

Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.

Innovate! Bring our FW switching products to shine in customers view.

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring