Perception Lead Engineer

Woven by ToyotaPalo Alto, CA
91d$161,000 - $264,500

About The Position

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

Requirements

  • 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.

Nice To Haves

  • Hands-on experience with building a perception stack for autonomous systems.
  • Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems.
  • Experience with CUDA or OpenCL.
  • Experience with automotive grade compute platforms.
  • Experience with building safety-critical software architectures.

Responsibilities

  • 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.

Benefits

  • Excellent health, wellness, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy
  • Family planning and care benefits
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