Lead Perception Engineer

Woven by Toyota; Ann Arbor (MI); On-site; USD 189,000 - 310,500; Full time

Benefits offered by this job

Health, wellness, dental and vision coverage

401k program

Flexible vacation policy

Family planning and care benefits

Job summary

A leading mobility innovation company in Ann Arbor seeks a Lead Engineer to develop advanced perception systems for autonomous driving. This role demands strong experience in machine learning, with responsibilities including model R&D, mentoring engineers, and driving technical direction. Ideal candidates have a Master's in a related field, 5+ years of ML experience, and programming skills in Python or C++.

Qualifications

• 5+ years of experience with ML frameworks.
• Extensive experience with machine learning and classification.
• Strong programming skills in Python or C++.

Responsibilities

• Lead perception ML model R&D by setting direction and best practices.
• Own end-to-end development of new ML models.
• Mentor and enable other engineers through coaching.

Skills

Machine Learning frameworks

Python

C++

Communication skills

Education

MS or higher in CS/CE/EE

Tools

PyTorch

Caffe

TensorFlow

Job description

Overview

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, Arene, Woven City, and Cloud & AI. Business-critical functions empower these teams to execute, with a goal of a world with zero accidents and enhanced well-being for all.

At Woven by Toyota, we work on a diverse set of problems ranging from optimization in 3D geometric computer vision to reducing latency on hardware accelerators, designing neural network architectures, and advancing ML for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology.

Who Are We Looking For

The Perception team is looking for a Lead Engineer to develop a state-of-the-art perception system for autonomous driving. In this role, you will lead the development and deployment of machine learning models, provide technical guidance and mentorship, and help shape the direction of our perception capabilities. Your work will be deployed on our next-generation autonomous vehicle platform and, ultimately, to millions of Toyota production vehicles.

We recognize the unique capabilities each team member brings and encourage applicants to reach out even if they do not match all of the characteristics described below.

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.

Minimum Qualifications

• MS, 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.
• 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 HAVE

• 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.

What We Offer

For positions based in Palo Alto, CA, the base pay for this position ranges from $189,000-$310,500 a year. Your base salary is one part of your total compensation. We offer a base salary, short-term and long-term incentives, and a comprehensive benefits package. The total compensation offered will depend on skills, experience, qualifications, location, and level.

What We Offer (Continued)

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many programs to help you do meaningful work and shape the future of mobility. • Excellent health, wellness, dental, and vision coverage • A rewarding 401k program • Flexible vacation policy • Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity. • Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development