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Our EyeC RADAR department develops high-performance 4D imaging radar systems for autonomously driving vehicles.
The PHY algo group is leading the innovative research and the development of the entire algo processing pipeline starting from the IQ samples and up to object detection. The group is responsible for the entire radar simulation, including novel waveform design, transceivers, environment, and the radar signal processing pipeline. The group is also leading the PHY architecture and developing AI based signal processing.
You will be in charge for ensuring the quality, performance and reliability of our algorithms.
What will your job look like?
Define test plan for new algorithms
Develop performance metrics for RADAR signals
Build automated testing systems for RADAR performance based on field data and simulations
Analyze field recorded data
Perform root cause analysis for algorithmic fails.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our company's 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.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Mathematical modeling and abstraction of real-life problems.
Research, design and develop innovative algorithmic solutions.
Code design, implementation, and hands-on development.

We are seeking a highly skilled and detail-oriented Validation Engineer to evaluate the quality, correctness, and performance of our algorithms.
While test execution is part of the role, your primary focus will be to design and develop robust testing strategies, building validation frameworks, identifying critical gaps, and ensuring that our algorithms meet the highest standards of accuracy and reliability.
What will your job look like:
Proactively identify gaps in algorithm performance, logic, and quality. Think critically and deeply about edge cases, failure modes, and potential areas where algorithms might deviate from expected behavior.
Use analytical rigor to determine the most important validation priorities, balancing algorithmic accuracy with the urgency of business needs.
Develop and implement test frameworks to validate algorithm functionality, accuracy, and performance.
Identify gaps in algorithm logic, quality, and failure modes, conduct root cause analysis, and drive corrective actions.
Collaborate with the algorithm development team to define test strategies based on in-depth understanding of the algorithm logic and business requirements.
Innovate new testing methods, define and prioritize test strategies based on risk, impact, and business needs.
Apply analytical skills to solve complex algorithmic challenges and enhance reliability.
Identify opportunities for process improvements, automating manual workflows and introducing innovative approaches to algorithm validation.
Automate testing with CI/CD tools like Jenkins to ensure continuous validation.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, and implementing control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
What will your job look like?
Work on developing and optimizing control algorithms for the vehicle
Run and analyze simulations to test autonomous vehicle in virtual environments
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.

Which department will you join?
The Infra development team is a part of Software Algorithm (SW Algo) Department at our company responsible for the software infrastructure and development algo utilities for autonomous driving algorithm code running on our company's platform. As part of the end-to-end autonomous vehicle flows, we get to see our code running in the most advanced algorithms and use cases, which are developed by our team and algorithm groups. The development environment is mostly based on C/C++ programming within computer vision domains.
As a Senior C++ Developer in the SW@Algo Department, you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
Collaborating with multiple departments in our company to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features
Engaging with different environments in our company's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals.

Want to make a real impact with your worknot just on your company, but on the world?
Beewise is one of the most innovative and impactful startups youve (probably) never heard ofyet. Were the first company to successfully scale up the saving of bees using cutting-edge technology, ensuring the security of the global food supply.

Our product, the Beehome, is a robotic beehive designed to protect and support bee colonies using advanced vision systems, sensors, and autonomous decision-making. It monitors hive health and optimizes beekeeping actions in real-time using AI, computer vision, robotics, and precision engineering.
Roles and responsibilities:
As a Robotic Vision Engineer, you will take full ownership of the design, implementation, and maintenance of our robotic perception systems. From concept to deployment, you will shape how our robotic platforms see and interact with the beehive environment.

Youll work on:
Translating raw visual data into precise 3D positioning for robotic movements
Vision fusion, object detection, feature classification, and 3D geometry analysis
Testing your solutions in real-world systems and refining for accuracy and robustness
Developing both deep learning models and classic algorithmic techniques

The Surround-Perception group 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 research advanced algorithms and models to enhance the quality, effects, and aesthetics of audio and video content. You will work closely with our product and other engineering teams, as your work will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.