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we are looking for an Software Engineer to join the development of state-of-the-art radar perception algorithms. You will join the Radar group in the R&D department, where we develop cutting-edge products. These products allow our company to understand the geometry around the vehicle, which is essential for the development of our Autonomous Vehicle and the rest of our Advanced Driving Assistance Systems.
What your job will look like:
You will develop mostly in C++ (and Python)
You will develop, design, and maintain Real-Time oriented code, meeting high standards of memory and running-time requirements
You will work both independently and in collaboration with other teams at our company
Support system integration.

In this role, you will work closely with release managers, main bundle integration teams, validation groups, and various R&D units across the company to ensure the delivery of high-quality products. Our team is responsible for integrating algorithmic and software code into our companys main repository, managing a range of gating tests, and delivering the technology content to the main bundle integration team.
What will your job look like:
Deliver versions of the technology out to the project integration
Work closely with development, release management, and validation teams
Define and write offline tests for all the various projects
Dig into source code and scenarios in order to identify, triage, and prioritize issues
Debug issues in our company's production platforms where the root cause could span across multiple domains
Maintain and review overall stability and resource utilization (CPU, RAM, Flash) of the system.

We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

we are looking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.

we are at the forefront of developing autonomous driving systems with leading OEMs, by integrating our company state-of-the-art ECUs into various vehicles.
We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

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.