דרושים » הנדסה » Senior Applied Research Engineer - CTO Group

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

You will be part of REM (Road Experience Management) department, which is responsible for the automatic High-Definition map-making process, which is a key technology in autonomous driving and high-end Driving Assistance systems.

Vision-based localization is a key enabler for utilizing and creating the maps. Our group is responsible for aligning the map with the world, and reporting detected changes during the drive. Our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time.
What will your job look like:
Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

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 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.

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.

Were looking for a Senior Data Engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ML inference systems.
What will your job look like:
Architect and own end-to-end data pipelines for large-scale model inference
Design high-throughput, scalable data streaming to the cloud
Integrate data conversion into data collection and inference pipelines
Drive performance, scalability, and reliability across distributed systems
Partner with ML, platform, and infrastructure teams