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!