Algorithm Engineer (parking/radar) at Aptiv Services UK Limited

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ADAS, Radar, Camera Perception, Sensor Fusion, Signal Processing, Embedded Systems, MATLAB, Python, C/C++, Real-Time Systems, Automotive Communication Protocols, Calibration Tools, AI-Based Detection Algorithms, HMI Integration, Digital Cockpit Platforms, ISO 26262

Industry

Software Development

Description

Help shape the future of mobility. Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error. Job Overview: The Algorithm Engineer (Radar + Camera Fusion) will develop advanced perception algorithms that combine radar and camera sensor data to enable 360° surround view, autonomous parking, and parking assist features on next-generation digital cockpit platforms. The role involves working with embedded systems, infotainment integration, and real-time visualization pipelines for production-grade ADAS systems. Job Responsibilities: Develop fusion algorithms combining radar and camera data for object detection, tracking, and classification in parking and low-speed environments. Implement signal processing algorithms for radar (FFT, CFAR, Doppler/angle estimation) and camera (image processing, object detection, semantic segmentation). Design sensor calibration and extrinsic/intrinsic alignment pipelines for multi-camera + radar setups. Integrate radar-camera perception into 360° surround view systems and infotainment HMI. Optimize algorithm performance for embedded SoCs (Qualcomm SA8295P, NVIDIA Orin, TI Jacinto), considering latency, memory, and CPU/GPU utilization. Develop simulation models and test benches using MATLAB, Python, or Simulink to validate fusion algorithms. Support SIL/HIL validation and vehicle-level testing for parking and surround view functions. Collaborate with ADAS, Infotainment, HMI, and system teams for seamless integration of perception results into cockpit displays. Analyze edge cases like occlusion, low light, multi-path interference, and sensor noise. Maintain documentation for algorithm design, calibration, and integration workflows. Skills Needed: 5–10 years experience in ADAS, Radar, and Camera perception algorithm development. Strong knowledge of sensor fusion techniques (Kalman Filter, JPDA, Extended KF, Particle Filter). Hands-on experience in Radar signal processing and camera image processing. Proficiency in MATLAB, Simulink, Python, and C/C++ for algorithm development and embedded deployment. Experience with embedded real-time systems (QNX, Linux, or Android Automotive OS). Knowledge of automotive communication protocols (CAN, Ethernet, SOME/IP). Exposure to ADAS calibration tools and sensor validation frameworks Preferred Skills: Experience in 360° Surround View, Parking Assist, and Low-Speed Automation features. Familiarity with Digital Cockpit platforms integrating ADAS and Infotainment on a single SoC (SA8295P, NVIDIA Orin). Knowledge of ROS2 / OpenCV / TensorRT for perception and fusion pipelines. Understanding of ISO 26262 safety standards and ASIL-B/C perception modules. Experience with AI-based detection algorithms for radar or camera sensor fusion. Exposure to HMI integration of perception overlays (cluster, CID, HUD). Your Background: A graduate in BE/B.Tech/ ME/ M.Tech (Electricals/ Electrical / Computer Science) or related field. A go-getter, good in communication, challenge ideas to achieve career aspirations aligned with Aptiv mission A Learning Enthusiast to be passionate about learning, follow trends and publications in the market outlining new solutions Why join us? You can grow at Aptiv.Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development); Life and accident insurance; Well Being Program that includes regular workshops and networking events; EAP Employee Assistance; Access to fitness clubs (T&C apply) Creche facility for working parents Apply today, and together let’s change tomorrow! #LI-AS2 Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law. Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Headquartered in Dublin, Aptiv has approximately 180,000+ employees and operates 12 technical centers, as well as manufacturing sites and customer support centers in 44 countries. Visit aptiv.com. Please review Aptiv's privacy policy by following this link: https://www.aptiv.com/privacy-notice

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Responsibilities

The Algorithm Engineer will develop advanced perception algorithms that combine radar and camera sensor data for autonomous parking and assist features. This role involves working with embedded systems and real-time visualization pipelines for production-grade ADAS systems.