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Ou Software Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across.
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact our core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

Required Senior Python Developer for Map Management
About the team:
You will be part of our REM department that is responsible for the automatic High-Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. Our team focuses on next phase developments within the map creation system, which involves algorithmic developments, cross teams (algo and engineering) developments.
What your job will look like:
You will have full responsibility over a development and design of logics and components that are essential for the map
Intensive teamwork along the development path - internally with the algorithmic team and externally with other teams
Development of a high-performance computing system
Will take part on making the world's roads a safer place.

Required Senior ML Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

We are looking for a talented Senior Full-Stack Platform Engineer to join a our "Enterprise AI Enablement" team.
In this role, you will combine hands-on full-stack engineering, platform ownership, product thinking, and technical leadership in agent-led development. You will own solutions end-to-end, from understanding user needs and shaping the experience to architecture, UX/UI, frontend, backend, data modeling, integrations, deployment, and production operation.
You will also help lead how we adopt agentic development, continuously evaluating emerging models, tools, and engineering practices and turning them into effective, reliable development workflows.
What will your job look like?
Own and evolve complex products end-to-end, from requirements and user experience through implementation and production.
Design and develop scalable full-stack solutions, including frontend applications, backend services, APIs, data models, integrations, and asynchronous workflows.
Lead the adoption of agent-led development across discovery, design, implementation, testing, review, and delivery.
Evaluate and apply evolving AI models, coding agents, agentic workflows, tool calling, context management, and orchestration techniques.
Translate complex business and technical needs into intuitive, reliable, and maintainable products.
Drive architectural decisions around scalability, reliability, security, authorization, data integrity, and failure recovery.
Maintain and improve production systems while collaborating with users, engineers, and cross-functional stakeholders.

We are looking for a Senior Full-Stack Developer (Frontend-Oriented) with a strong frontend focus and an eye for exceptional UX to help us build intuitive, modern, and scalable web applications. In this role, your work will directly boost the productivity of hundreds of engineers across the company.
What your job will look like:
Lead frontend architecture and construct clean, highly responsive, and user-friendly interfaces using React and TypeScript.
Own end-to-end feature delivery, pairing robust frontend user experiences with performant Python (FastAPI) backends and API services.
Integrate AI tools and agentic workflows into daily engineering practices and internal platforms to maximize team efficiency.
Build, test, and deploy scalable solutions operating on modern cloud infrastructure (AWS, Kubernetes, Docker).

Required Senior Computer Vision Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

We are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.

Required Reinforcement Learning Researcher | Learned-Policy Group
About the team:
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios,
building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.

Required Outstanding Graduate Algorithm Developer
About the team:
A global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, algorithm developers work at the forefront of AV/ADAS innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++.
Algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact.
Algorithm developers contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

Our Optics Department is looking for a detail-oriented and hands-on Optical Lab Technician to join the team for a six-month maternity leave replacement.
Students are welcome to apply. The role involves working in an optical laboratory and performing precise, repetitive, hands-on tasks.
What will your job look like?
Perform optical measurements using laboratory equipment.
Assemble optical components and systems.
Carry out precise optical system alignment.
Perform repetitive laboratory tasks while maintaining accuracy and consistency.
Organize equipment, components, and the laboratory workspace.
Follow established procedures and document measurement results.

Our EyeQ Platform Group in Jerusalem is looking for an embedded SW developer who will be responsible for validating custom hardware in SoC.
As an experienced embedded developer, you will be writing C/C++ code for our vision SoC and be engaged in a wide range of activities: starting from system verification on simulators, moving through the design and implementation of HW drivers for our proprietary OS, working closely with ASIC designers to cover all HW features, gaining insight into the inner workings of hardware, and using your knowledge to iron out bugs in silicon on customer boards via JTAG probes. It's a unique opportunity to be part of the complete lifecycle of a system on a chip.
Our group's area of responsibility resides on the SW/HW boundary and thus requires the ability to understand and use complex HW specifications for SW drivers and test development.
What will your job look like:
Developing code for a multi-threaded, multi-core system under a custom real-time operating system on MIPS/RISC-V processor range, exposing complex HW features to upper SW layers.
Designing and implementing system verification and integration tests in a simulation environment, as well as maintaining and enhancing existing ones.
Executing board bring-up activities and debugging existing systems with our proprietary system on a chip.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges - from object detection and scene understanding to 3D perception - using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

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.