Lead Perception Engineer

Woven by Toyota

full-time

Posted on: 9/25/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

💰 $161,000 - $264,500 per year

Senior

LinuxPythonPyTorchRTOSTensorflowUnix

About the role

Lead perception ML model R&D by prototyping, validating, and iterating on existing and new model architectures, setting direction and best practices for the team.
Own end-to-end development of new ML models, from data strategy and initial development to optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
Lead large, multi-person projects, shaping the overall Perception architecture and driving technical direction.
Mentor and enable other engineers through coaching, leading by example in writing high-quality code, conducting thorough code and design document reviews, and delivering rigorous ML experiment reports.
Drive agile development practices in a high-velocity environment, ensuring the team can adapt and deliver quickly.
Foster a collaborative, “get things done” mentality, promoting accountability and high performance across the team.
Collaborate with downstream stakeholders to define interfaces and requirements for the Perception stack.
Closely collaborate with Perception subteams to develop end-to-end solutions.

MS, or higher degree, in CS/CE/EE, or equivalent in-industry experience.
5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow.
Extensive experience with machine learning and classification.
5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
Strong programming skills in Python or C++.
Passionate about self driving car technology and its potential for humanity.
Experience in writing production level code in a real-time operating system.
Strong communication skills and ability to communicate concepts clearly and precisely.
Hands-on experience with building a perception stack for autonomous systems. (Nice to have)
Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. (Nice to have)
Experience with CUDA or OpenCL. (Nice to have)
Experience with automotive grade compute platforms. (Nice to have)
Experience with building safety-critical software architectures. (Nice to have)