דרושים » תוכנה » ASIC Backend Lead

we are looking for a Senior Hardware Engineer to join our AV Platform HW Development group in Israel to design the next generation of autonomous driving systems.
What will your job look like?
Responsible for specifying the hardware for our autonomous driving systems
Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
Manage the technical interface with our customers to derive the product hardware requirements
Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability

Lead the tech behind one of Israel’s fastest-growing companies. At Kendago, highly stable and profitable company, we’re not just running ads — we’re building a game-changing tech product that gives our marketing teams a serious edge. It’s a smart, insight-driven optimization platform that analyses tons of ads data and turns it into real-time recommendations and insights for publishers. We’re looking for a passionate and proactive Software Team Leader to head a backend-focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code. You’ll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions. This is a hybrid position, including two to three work-from-home days per week , with flexibility based on team and individual needs. Our Office is located in Kiryat Ono.

Responsibilities:

* Lead a full-stack team working on our proprietary optimization platform Architect and build high-scale, data-centric web systems
* Be a hands-on leader : code when needed, unblock, mentor, and push forward
* Collaborate with product managers who work hand-in-hand with our performance teams.
* Balance rapid delivery with long-term architecture and stability

Biz Dev:
R&D

Remote/Part time:
Hybrid

The SOC verification group owns the important and challenging job of verifying chip.
It is involved from product specification to final SOC delivery, and involves all the system components.
The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

Platform SW department is looking for a highly driven and dynamic SW customer engineer to join our team and help shape the future of Autonomous Driving systems.
Our team ensures fast and successful integration of technologies in customers solutions
(car manufacturers / Tier1), from the design phase to a car launch, while working closely with internal R&D teams. We're looking for a strong, hands-on, software engineer who is passionately motivated by challenges and excels in troubleshooting hard, complex problems.
What will your job look like?
You will work directly with development teams on integration into the car manufacturer's system from a real-time, safety-critical system aspects.
You will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
Support new boards bring up : coding, integration, unit test and customer support..
Integration with various embedded systems

We are looking for a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment

we are looking for a Senior Deep Learning Algorithm Developer.
Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

Join the group that builds the foundation of Mobileyes perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.