Front-end Architect jobs in Israel

What you will be doing:

• Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.

• Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

• Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

• Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

What we need to see:

• PhD or Master's degree with equivalent experience.

• 8+ years of experience

• Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.

• Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.

• Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

Ways to stand out from the crowd:

• Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.

• Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.

• Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.

• Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.

What you’ll be doing:

• Technically leading the features owns working with customers and R&D on architecture and design of the features.

• Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.

• Simulations ranging from specific components to complete data center environments

• Develop SDKs for novel HW capabilities

• Designing and implementing services, runtime systems, and applications over SDK

• Evaluate and optimize application performance

• Partner and collaborate with other forward-thinking team members and external researchers

• Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

What we need to see:

• Graduate of BSc/MSc in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field

• 0-2 years of relevant experience.

• Knowledge in networking, operating systems, accelerator programming, and systems

• Track record of research excellence

• Good communications skills

Ways to stand out from the crowd:

• Experience in networking and operation system

• Knowledge or experience with LLM

What you'll be doing:

• Conduct research and analysis on networking solution and end to end algorithms.

• Work with a creative and experienced team to outline the next generation of our RDMA load balance and congestion control algorithms.

• Work on simulation environment and on real HW systems

• Engage with other research teams to develop Proof of Concepts using our technology.

What we need to see:

• 2+ years of experience.

• B.Sc. in Electrical Engineering or Computer Engineering.

• High motivation to learn and explore new fields.

• Proven problem-solving skills.

• Excellent interpersonal skills.

• Knowledge and understanding of compute and networking systems is an advantage.

• Passion and attention to detail in building with a high focus on building quality.

Ways to stand out from the crowd:

• Passion and love for system architecture, includingCPU/GPU/Memory/Storage/Networking.

• Background with AI workloads.

• background with networking.

• Experience in the development of simulation environments.

Key Responsibilities:

• Collaborate with stakeholders and senior product leaders to implement the product roadmap with a focus on application integrations and connectivity with third-party platforms.
• Define clear product requirements, epics, user stories, and acceptance criteria to guide engineering teams in delivering high-quality solutions.
• Partner closely with engineering teams throughout the software development lifecycle to ensure timely, scalable, and robust delivery of features.
• Work within an agile environment, actively participating in sprint planning, backlog refinement, daily stand-ups, demos, and retrospectives.
• Conduct product demos for internal stakeholders and customers, showcasing product capabilities and new features.
• Engage with sales, solutions engineering, and customer success teams to understand customer use cases and translate them into product requirements.
• Drive product integration initiatives by enabling seamless connectivity with applications, platforms, and services through APIs and related technologies.
• Gather and incorporate feedback from customers and internal teams to continuously improve product offerings.
• Develop and maintain clear product documentation, specifications, and training materials to support adoption and customer success.

• 5+ years of product management/ product owner experience in application integrations or enterprise software.
• If you have strong experience in software development role and are looking for a transition to a product role, we are open to have a discussion.
• Strong experience and understanding of application integration concepts (APIs, SDKs, connectors, event-driven architectures, etc.) –mandatory.
• Proven experience collaborating with engineering teams, with the ability to translate technical concepts into actionable requirements.
• Hands-on experience in agile environments, including participation in related ceremonies (sprint planning, backlog grooming, daily stand-ups, demos, retrospectives).
• Comfortable delivering product demos to both technical and non-technical audiences.
• Excellent communication and collaboration skills, with the ability to influence cross-functional teams and manage stakeholder expectations.
• Strong technical background and understanding of software development practices.
• Ability to write clear and concise documentation, user stories, and specifications.