The Robotics and Computer Vision Engineer will document ADAS software, reverse engineer legacy code, work with computer vision and robotics systems, and validate algorithm behavior.
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.
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)
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