דרושים » מדעים מדוייקים » Algorithm Researcher for CTOs Innovation Team

we are seeking talented Algorithm Developers for a range of positions focused on shaping the future of autonomous driving and advanced driver-assistance systems. You will develop and optimize cutting-edge computer vision and mapping algorithms that help vehicles perceive their surroundings, detect drivable lanes, and create high-definition maps from large-scale, crowd-sourced data. This work requires creativity, strong algorithmic thinking, and software engineering skills to deliver real-time solutions on dedicated hardware. Join us in making roads safer and driving smarter for everyone.
What will your job look like:
The role combines algorithm development with hands-on software implementation.
The algorithmic development is done in Python and C++, and tasks often require solid foundations in mathematics and geometry.
We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
You will take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

we are looking for a skilled and driven Algorithm Team Lead to tackle real-world challenges using cutting-edge Computer Vision and Machine Learning techniques. Our work directly supports our companys mission to revolutionize autonomous driving and contribute to saving lives. Youll lead a fast-paced, hands-on team, contributing to the full development cyclefrom early research to deploying production-ready solutionswhile collaborating with teams across the organization.
What will your job look like:
Lead and mentor a team of algorithm developers focused on solving complex perception problems.
Drive the development and implementation of machine learning models for real-world automotive applications.
Focus on algorithmic development with a strong emphasis on Computer Vision and Image Processing.
Work with large-scale data to design, train, and evaluate deep learning models.
Program primarily in Python using modern tools and frameworks.
Research, prototype, and refine new ideas to address evolving perception challenges.

our companys ADAS (Advanced Driver Assistance Systems) Execution & Validation group is looking for a sharp, driven, and technically oriented manager to lead cross-functional validation initiatives aimed at discovering bugs earlier in the development lifecycle. This role is at the heart of our effort to enhance validation methodologies across our companys ADAS algorithmic technologies, integrating AI-driven systems, data pipelines, and operational workflows. As the ADAS Validation Manager, youll orchestrate multiple teams, under you direct management, help shape our validation strategy and drive alignment across the organization. You will be the central point of contact for validation activities across ADAS, working closely with algorithm developers, analysts, and product stakeholders. If you thrive on managing complexity, pushing for excellence, and turning high-level goals into execution - we want to meet you.
What will your job look like:
Manage multiple validation-related teams, consisting of 10 people, while managing timelines, deliverables, and execution for diverse goals and expertise.
Lead multiple activities and initiatives across ADAS, with a focus on early detection of system bugs (shift left mindset).
Collaborate with algorithm developers, operational experts, and validation analysts to drive scalable validation tools and methodologies.
Drive innovation in validation by introducing AI/LLM-based tools and cutting-edge technologies into operational workflows.
Help set a high standard of excellence for cross-functional validation practices within the ADAS domain.
Youll oversee validation efforts across tech teams, working hand-in-hand with local validation groups to align goals, share insights, and push validation earlier in the pipeline.

The VIDAR team is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies. In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives. This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
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.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future our company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services. Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work. Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

we are looking for a Embedded SW Engineer for Performance Modeling. You will be part of EyeQ SoC Performance Modeling and Profiling team in EyeQ Platform Group (EPG), working on current and next-generation designs for ADAS/AV. Performance models and profiling tools are fundamental parts of the EPG infrastructure, they are used during EyeQ HW architecture definition phase and by SW developers for performance optimizations.
What will your job look like:
You will work on CPU functional and timing models of our company's SoC platforms.
You will work on developing tracing and profiling tools for CPU performance analysis and optimizations.
You will run HW benchmarks to test HW performance and calibrate the simulation performance with the silicon board.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/OS/Algorithms developers.

our company's EyeC VLSI team - a group designing the chips for RADAR systems for ADAS and autonomous cars. Our Physical Design group is working in a Startup like environment with respect to technical expertise, execution & responsibility . Each Physical Design engineer has an end to end responsibility from definition, execution & full signoffs, working closely with design & architecture teams for constraints development, design review & RTL modifications to achieve converges Were looking for a Experienced Physical Design Engineer to join the growing Physical Design Team, responsible for developing our next generation Imagining Radar SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS with horizontal ownership.
Floorplan exploration and collaboration with front-end and architecture teams.
Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.