Autonomous Driving Algorithm & Systems Engineer

About this role

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Our autonomous driving technology stack spans multiple core modules, including Perception (Detection / Tracking), Localization, Motion Forecasting, Planning, and Real-Time Map Generation (RTMG).

We are looking for engineers with expertise in any of these areas to join our team and help build robust, production-grade autonomous driving systems. (This role does not require a single person to handle all modules; responsibilities will be assigned based on technical specialization.)

Key responsibilities

• Design, implement, and optimize algorithms across modules such as Perception (object detection, classification, tracking), Prediction, Planning, Localization, and RTMG.
• To comply with ISO 21448 (SOTIF) requirements, validate all inputs by verifying data formats, timing and synchronization, coordinate alignment, and fallback mechanisms for missing or degraded sensor data across camera, ego-motion (ODOM), radar, and lidar.
• Collaborate with teams including systems and software to integrate algorithms into the autonomous driving stack and deliver robust system-level solutions.
• Job

Requirements

• Education background: Master degree or Ph.D degree
• Minimum experience: At least one year of relevant work or academic experience
• Similar or other experiences:
• Experience of autonomous driving algorithm would be a plus
• Experience of model deployment would be a plus
• Experience of model optimization such as pruning and quantization would be a plus

4. Skills

• Strong in autonomous driving algorithms or related system integration.
• Background in machine-learning-based computer vision or large language model (LLM) technologies.
• Familiar with machine learning frameworks such as PyTorch, TensorFlow, etc.
• Proficient in Python and C/C++ programming.