Ascentt
About the Role
We're hiring a
Robotics and Computer Vision Engineer
to reverse engineer and document ADAS (Advanced Driver-Assistance Systems) software. If you’re skilled in understanding complex perception and control algorithms, and can turn legacy code into clean, structured documentation, this role is for you. You'll work across robotics, computer vision, and control systems (e.g., PI controllers) to support system improvements and compliance.
Key Responsibilities
Analyze and document ADAS algorithms (perception, decision-making, control)
Reverse engineer legacy code in Python/C++ and create clear technical documentation
Work with computer vision models, sensor data (camera, LiDAR, radar), and sensor fusion
Validate algorithm behavior using data science tools and simulation environments
Tune and analyze PI/PID control systems for vehicle motion and actuation
Requirements
Bachelor's/Master’s in Robotics, Computer Science, or related field
Strong coding skills in Python, C and C++
Understanding of ADAS systems and control theory
Experience with reverse engineering or technical documentation
Familiarity with ROS, Git, and simulation tools (e.g., CARLA, MATLAB/Simulink)
Bonus Points
Experience with machine learning or deep learning frameworks
Knowledge of automotive safety standards (ISO 26262)
#J-18808-Ljbffr
Robotics and Computer Vision Engineer
to reverse engineer and document ADAS (Advanced Driver-Assistance Systems) software. If you’re skilled in understanding complex perception and control algorithms, and can turn legacy code into clean, structured documentation, this role is for you. You'll work across robotics, computer vision, and control systems (e.g., PI controllers) to support system improvements and compliance.
Key Responsibilities
Analyze and document ADAS algorithms (perception, decision-making, control)
Reverse engineer legacy code in Python/C++ and create clear technical documentation
Work with computer vision models, sensor data (camera, LiDAR, radar), and sensor fusion
Validate algorithm behavior using data science tools and simulation environments
Tune and analyze PI/PID control systems for vehicle motion and actuation
Requirements
Bachelor's/Master’s in Robotics, Computer Science, or related field
Strong coding skills in Python, C and C++
Understanding of ADAS systems and control theory
Experience with reverse engineering or technical documentation
Familiarity with ROS, Git, and simulation tools (e.g., CARLA, MATLAB/Simulink)
Bonus Points
Experience with machine learning or deep learning frameworks
Knowledge of automotive safety standards (ISO 26262)
#J-18808-Ljbffr