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Join our companys Perception Solutions team and help shape the next generation of autonomous driving technology! Our team is project-oriented, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions. Projects can be initiated both bottom-up and top-down, and they are always interesting, challenging, and have a direct practical impact on real-world products.
What will your job look like:
The job consists of a mix of algorithmic research and algorithm development, with an emphasis on deep neural networks.
You will learn and deploy state-of-the-art techniques to achieve world-class results, enabling the development of autonomous driving features and advanced driver-assistance systems (ADAS).
The work is typically done in teams, and the amount of team interaction varies based on project needs and your personal preferences.

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 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.

we are looking for a driven and technically fluent Product Manager to lead our internal Data Platform, which powers everything from ETL process to data lake storage layers to advanced analytics products. Our Data Platform operates at a massive scale, processing tens of terabytes of data across complex ETL pipelines, data lake layers, and analytics workflows. Youll help shape the backbone that fuels algorithm development, validation processes, and analytics tools that determine the quality of models. Our group works with the energy of a compact startup inside the company: fast feedback loops, end-to-end ownership, and big responsibility. You will work closely with Algo teams, Validation teams, Analysts, and cross-functional engineering groups to deliver a platform that is reliable, developer-friendly, and built for scale.
What will your job look like:
You will define the platforms roadmap and drive cross‑org alignment on data infrastructure priorities.
Translate requirements from Algo, Validation, and Analyst teams into clear and structured product specifications, including UX/UI and user flows.
Own the product lifecycle - from discovery and design to implementation, rollout, monitoring, and iterative improvement.
Conduct ongoing conversations with users to acquire a deep understanding of their needs and pain points.
Support smooth releases and ensure platform adoption across the organization.
Provide clear direction and smart prioritization, helping a highly capable and opinionated team stay focused and deliver exceptional results.

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.

Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.

You will be part of our copmpany's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our copmpany's 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. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

our company develops systems that change the way we drive, from preventing accidents (advanced driver assistance systems) to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference - come and lead the revolution! We are looking for an experienced Information Systems Administrator to implement and manage our company systems within the HRIS team. This position combines both end-to-end implementation and design skills and requires deep business understanding. It is a hands-on role requiring the ability to own systems and business processes, understand data architecture, and create innovative solutions. The position is a maternity leave replacement for a period of one year.
What will your job look like
Manage systems: Oversee and maintain information systems and ensure smooth operation, including automations, integrations and business processes.
Collaborate on projects: Participate in cross-functional projects, engaging with stakeholders at various organizational levels to align technical solutions with business needs.
Optimize processes: Continuously improve business processes using data-driven and methodological approaches to increase efficiency and scalability.
Perform business analysis: Gather requirements, conduct testing, and communicate findings effectively to relevant teams and leadership.
Work with development teams: Partner closely with IT developers, project managers, and external partners to enhance and maintain the HRIS ecosystem.
Develop reports and controls: Create reports, monitoring tools, and efficient controls to ensure business continuity, accuracy, and operational effectiveness across our company.