לוח משרות דרושים במרכז

Were looking for someone who leads by example, thrives in cross-functional environments, and is passionate about scalable, intelligent systems.



Key Responsibilities

Take a proactive role in a business-driven Squad and own your domain
Design, implement, test, deploy, and monitor backend infrastructure and business features
Maintain high-quality standards and write readable, testable, modular, and maintainable code
Build tools and processes to improve and accelerate our development lifecycle and take our road safety solutions to the next level
Collaborate while sharing your knowledge with other team members throughout the R&D
Guide and mentor engineers across teams, fostering collaboration and elevating technical standards
Take ownership of backend infrastructure initiatives, from design to implementation, with a focus on scalability, maintainability, and system performance
Contribute to the adoption and integration of Generative AI tools and practices to enhance developer productivity and code quality
Shape core infrastructure decisions and lead backend architecture at scale
Act as a multiplier for engineering excellence through strong cross-functional collaboration

As Director of Data & AI, youll own central data organization consisting of three high impact teams (Data Engineering, Data Science, ML/Computer Vision). Youll set the strategy, drive execution, and ensure our data pipelines and AI models deliver world-class, low-latency insights. Youll partner with software and hardware engineering, product, sales, and external partners to expand data and vision capabilities and maintain our leadership in roadside intelligence. Youll ensure that data and AI efforts are aligned with product goals and contribute to broader company impact, from customer value to operational efficiency.



Key Responsibilities

Lead & Mentor: Manage and grow three teams (~ 20 engineers & scientists) across multiple locations (Israel, US, Europe).
Strategic Roadmap: Define and prioritize quarterly roadmap in collaboration with Product and Executive Leadership.
Cross - Functional Alignment: Collaborate with software, hardware, and partner teams to integrate data pipelines and deploy AI models.
Stakeholder Communication: Serve as the primary voice of Data & AI - presenting roadmaps, vision, metrics, and outcomes to executives and external partners.
Drive state of the art computer vision research and productization.
Architecture & Scalability: Ensure data platforms (batch and streaming) are secure, reliable, and scalable - leveraging AWS, Kubernetes, Terraform, etc.
Data Governance & Security: Ensure high standards for data quality, privacy, and compliance practices across all pipelines and models.

We are seeking a talented and experienced Machine Learning Engineer who will be responsible for designing and applying new machine learning techniques for computer vision applications.

Role and Responsibilities

Design, integrate, and evaluate new deep learning techniques/Models to improve the accuracy of the core software product
Develop techniques to clean/refine our dataset used for training
Help guide the workflow for collecting and annotating data by our team of data entry specialists
Design and implement algorithmic/Agent logic associated with Computer Vision Models.
Test performance/accuracy of model changes
Customize models via Neural Architecture Search to best fit the application
Implement training code in Python and PyTorch Framework 

we are seeking a highly motivated and experienced Software Team Lead to oversee a multidisciplinary engineering squad responsible for the development and maintenance of key company productsincluding the Command Platform (SaaS) and Data Sharing Services (DaaS). This role includes leadership of Frontend, Backend, QA, and Automation engineers and requires collaboration with cross-functional stakeholders such as Product Managers, UI/UX designers, Data Engineers, Data Scientists, and DevOps professionals.

This is a hands-on position involving direct technical contributions, architectural oversight, and responsibility for quality, performance, and timely delivery. The ideal candidate demonstrates both technical depth and proven leadership capabilities.

Key Responsibilities

Lead a cross-functional engineering squad working on mission-critical SaaS and DaaS products.
Own the full software development lifecyclefrom planning and architecture to deployment and maintenance.
Drive initiatives to improve scalability, performance, reliability, and long-term maintainability.
Work closely with Product, UI/UX, DevOps, Data Engineering, and Data Science to ensure alignment and delivery.
Mentor and guide engineers, fostering a culture of growth, accountability, and continuous improvement.
Champion software engineering best practices and quality assurance methodologies.
Integrate AI-powered solutions into platform capabilities where appropriate.
Ensure timely delivery of product features in alignment with company goals and stakeholder expectations.

We are building a purpose-driven digital marketplace that helps people find the homes, cars, and services they truly need faster, smarter, and more intuitively. We're seeking a passionate and experienced Senior backend Developer to join our team.
This is a chance to make a real impact by building robust, high-performance APIs and scalable backend architecture. If you're a self-starter with a passion for clean code and a desire to help people, we want to hear from you.

our company networking unit is a world-leader fast-growing company which supports the most powerful supercomputers in the world. We make outstanding artificial intelligence happen and accelerate Open-AIs Chat-GPT, for example. We believe in our people and products and seek excellent people to join us!
We're looking for a hardware u/architect for our switch division. In this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of our companys next generation switch product lines performance, both Ethernet and InfiniBand. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams to improve performance and debug.
What you'll be doing:
Learn and understand the switch u/architecture thoroughly across all aspects and become a source of information for the design and verification engineers.
Define the implementation of the most sophisticated performance features of our next products, balancing architecture requirements with backend, execution, and design considerations.
Define the implementation of debug capabilities to support performance validation and improvements
Understand our system requirement and help define the POR of our switch product line.
Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units designers as they require full cross-unit understanding of the chip.
Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc.
Thoroughly understand Ethernet, InfiniBand and NvLink protocols.

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best user experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their AI workloads. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members.

We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. our companys next-generation Ethernet and NVL switches are at the core of the worlds most advanced compute clusters from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at our company, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology.
What You'll Be Doing:
Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle from early concept to deployment.
Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options.
Lead research and exploration of future architectures, including innovation that contributes to patent development.
Collaborate closely with cross-functional teams including other architecture groups, logic design, firmware, system software, and research to ensure successful execution and integration.
Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization.