Perception Software Engineer
We are seeking a highly experienced Perception/Machine Learning Engineer to join a fast-growing autonomous vehicle company in San Francisco, developing advanced solutions for industrial automation.
The Role:
You'll develop and implement state-of-the-art ML perception techniques to enable autonomous vehicles to navigate complex environments. Working closely with cross-functional teams, you'll optimize models for real-world deployment, ensuring high performance on embedded systems.
- Design and refine machine learning models for perception tasks (object detection, segmentation, tracking, etc.).
- Optimize models for low-latency inference on embedded hardware.
- Build cloud-based training and data pipelines.
- Collaborate on sensor selection and integration.
- Write high-performance, well-tested software.
- Test your code in real-world environments.
Required experience:
- 7+ years of experience in computer vision, ML, and robotic perception.
- Strong foundation in deep learning, dataset management, and model optimization.
- Proficiency in modern C and Python.
- Experience with compute-constrained pipelines (TensorRT, quantization, CUDA).
- Ability to thrive in a fast-paced, hands-on environment.
- Previous experience working on Autonomous vehicles at level 4 + is preferred
Salary:
$160,000 - $240,000 + equity
If you're passionate about autonomous vehicles and eager to develop cutting-edge solutions for real-world challenges, apply now.