Algorithm Architect - ADAS

Business Unit:

The Algorithm Architect - ADAS is responsible for defining, designing, and validating algorithms that enable advanced driver assistance and autonomous driving functions. The role focuses on perception, sensor fusion, path planning and control algorithms, ensuring their integration within embedded and high-performance computing environments. You will serve as the technical authority for algorithmic design, ensuring alignment with system-level requirements, functional safety, and real-time constraints.

Key Responsibilities

• Define and own the end-to-end algorithmic architecture for ADAS functions such as Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA), Automatic Emergency Braking (AEB) etc.
• Decompose system-level

  ADAS

  functions into modular algorithm components: perception, fusion, prediction, planning and control.
• Design sensor fusion frameworks

  (camera, radar, ultrasonic, IMU, GNSS)

  for accurate environment modeling and object tracking.
• Architect algorithms for multi-sensor object detection, classification, and tracking, leveraging both traditional signal processing and AI/ML methods.
• Define the

  software and hardware architecture interfaces

  to support real-time execution of algorithms on ECUs, GPUs, and embedded processors.
• Optimize algorithms for embedded performance, latency, and memory efficiency while maintaining high accuracy.
• Collaborate with system architects, software engineers, and data scientists to ensure seamless integration and deployment.
• Conduct algorithm performance evaluations using simulation, SIL/HIL, and on-vehicle validation.
• Contribute to functional safety (ISO 26262) and SOTIF (ISO 21448) compliance from an algorithmic perspective.
• Maintain awareness of latest research and technologies in ADAS, perception, and AI for automotive applications.
• Mentor and guide algorithm engineers in technical design, modeling, and validation best practices.

Qualifications:

• Masters or Ph.D. in Computer Science, Electrical/Electronics Engineering, Robotics or related field.

• 8-12 years of experience in ADAS

  / Autonomous Driving algorithm development or similar domains.
• Deep understanding of

  sensor processing, computer vision, sensor fusion, path planning, and vehicle control algorithms.

• Strong experience with C/C++, Python, and MATLAB/Simulink for algorithm design and validation.
• Familiarity with AI/ML frameworks and embedded AI deployment (CNN & latest technologies).
• Experience with real-time operating systems (

  RTOS) and AUTOSAR

  Classic/Adaptive environments.
• Solid understanding of vehicle dynamics, control theory, and state estimation techniques (Kalman Filters, Particle Filters, etc.).
• Experience with

  HIL/SIL validation

  , simulation tools (e.g. CarMaker) and data replay systems.
• Working knowledge of Functional Safety (ISO 26262) and SOTIF concepts.
• Strong grasp of vehicle communication protocols (CAN, LIN, Ethernet) and ECU architecture.
• Familiarity with AI-based perception pipelines (CNNs, RNNs, transformer-based architectures) for object detection and tracking.
• Knowledge of sensor calibration, time synchronization, and data fusion frameworks (ROS/ROS2, ADTF, RTMaps).
• Experience with GPU/SoC-based acceleration (NVIDIA, Qualcomm, TI etc.).
• Exposure to cybersecurity and over-the-air (OTA) update strategies.
• Contributions to research papers or patents in the ADAS/autonomous driving field.
• Strong analytical and abstract thinking capabilities.
• Excellent communication and cross-functional collaboration skills.
• Leadership and mentoring ability for algorithm development teams.
• Passion for innovation in intelligent mobility and autonomous systems.