Autonomous Driving Algorithm & Systems Engineer
Requirements at a glance
Autonomous Driving Algorithm & Systems Engineer at Ambarella is a role based in Taiwan Hsinchu. The posting asks for a doctorate. It does not mention visa sponsorship. Key skills include Python, C++, C, and Machine learning. Applications are submitted through Workday.
- Education
- Doctorate (PhD)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- Python
- C++
- C
- Machine learning
- Generative AI
- PyTorch
- TensorFlow
Extracted automatically from the job description. Confirm details in the full posting below.
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:
1. Design, implement, and optimize algorithms across modules such as Perception (object detection, classification, tracking), Prediction, Planning, Localization, and RTMG.
2. 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.
3. Collaborate with teams including systems and software to integrate algorithms into the autonomous driving stack and deliver robust system-level solutions.
Job Requirements:
1. Education background: Master degree or Ph.D degree
2. Minimum experience: At least one year of relevant work or academic experience
3. 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.