Autonomous Perception Software Architect

2 weeks ago


Palo Alto, California, United States Woven Planet Full time
Perception Engineer

We are seeking a highly skilled Machine Learning engineer to join our team in developing a state-of-the-art perception system for autonomous driving.

As a key member of our Perception team, you will be responsible for designing and developing new Machine Learning models for our online perception system and deploying the model on our next-generation autonomous vehicle platform.

You will have the opportunity to work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision to minimizing latency on hardware accelerators.

Key Responsibilities:
  • Prototype, validate, and iterate on existing and new model architectures.
  • Develop new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
  • Lead large, multi-person projects and significantly influence the overall Perception architecture and technical direction.
  • Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews, and delivering rigorous reports from ML experiments.
Requirements:
  • M.S. or higher degree in CS/CE/EE, or equivalent in industry experience.
  • 5+ years of experience with ML frameworks such as PyTorch, Caffe, Tensorflow.
  • Extensive experience with machine learning and classification.
  • Strong programming skills in Python or C++.
  • Passionate about self-driving car technology and its potential for humanity.
Benefits:
  • A competitive base salary range of $161,000 - $264,500 per year.
  • A comprehensive benefits package, including excellent health, wellness, dental, and vision coverage, a rewarding 401k program, flexible vacation policy, family planning and care benefits.


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