Lead Perception Engineer

Woven Planet; Palo Alto (CA); On-site; USD 189,000 - 310,500; Full time

Benefits offered by this job

Excellent health, wellness, dental, &視

401k program

Flexible vacation policy

Family planning and care benefits

Job summary

Woven by Toyota in Palo Alto is seeking a Lead Engineer to drive the multi‑year roadmap, architecture, metrics, and technical strategy for World Understanding software. This role targets ML system design and verification, with a focus on data‑driven and deep learning methods for complex, real‑world autonomy.

You will mentor tech leads, influence stakeholders including TMC, and collaborate with ML researchers and software/hardware teams to advance safe, scalable perception and world understanding

Qualifications

• 10+ years in ML applications or applied science.
• MS or PhD in ML, Mechanical, Electrical, Computer, Aerospace or related field.
• Deep ML knowledge, multi-modality and sequential modeling.
• Real-time system development and production code practices.

Responsibilities

• Drive multi-year roadmap and architecture for World Understanding software.
• Lead project execution and define efficient engineering processes.
• Collaborate with Data, Behavior, Developer Ecosystem, and Product teams.
• Develop state-of-the-art models for driving environments.
• Increase speed of model iteration while maintaining cost efficiency.
• Mentor engineers and lead reviews of technical designs.
• Maintain and validate system-level architecture for safety and performance.

Skills

ML systems

Python

C++

Communication

Mentoring

Leadership

Education

MS or PhD in ML/Engineering

Tools

TensorFlow

PyTorch

Job description

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.

TEAM

At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D geometric computer vision and perception to prediction, motion planning, and safe deployment of ML systems in real vehicles. Our AD/ADAS organization develops production‑grade autonomy and active safety technologies that operate in complex, uncertain real‑world environments and ship at global scale.

You’ll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and world‑understanding systems that directly influence how vehicles see, reason about, and interact with the world.

WHO ARE WE LOOKING FOR?

We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the multi‑year roadmap, architecture, metrics, and technical strategy for software components contributing to understanding around the vehicle. A system thinker with technical depth in machine learning approaches to complex systems. This engineer will accelerate the adoption of data‑driven and deep learning methodologies, focusing on ML system design and verification, supervised/unsupervised learning, multi‑modality, multi‑tasks training, and temporal/sequential modeling. This role emphasizes faster and more cost‑efficient model iteration, data‑driven validation strategies, and unlocking new safety/performance capabilities through advanced ML.

The role also requires strong communication skills, an aptitude for mentoring tech leads, influencing and collaborating with diverse stakeholders, including TMC, in identifying deep technical challenges, developing solutions, and executing on the delivery of our autonomy mission.

RESPONSIBILITIES

• Driving the technical vision and multi‑year strategy for World Understanding (including perception, mapping, fusion, on‑board/off‑board) software.
• Leading project execution, defining efficient engineering processes, and mitigating risks.
• Collaborate with cross‑functional teams such as Data, Behavior (Planner/Controller/HMI), Developer Ecosystem, and Product Delivery while influencing technical decisions across the organization to drive innovation, ensure seamless system integration, and improve overall engineering efficiency.
• Develop state‑of‑the‑art models to deliver desired driving environments in various sensor configurations.
• Increase speed of the component‑ and system‑level model iteration while maintaining cost efficiency.
• Incorporate data‑driven approaches to improve system performance and unlock new capabilities for safety.
• Maintain the functional architecture design and lead review of technical designs.
• Drive organizational metrics towards performance, safety, and quality.
• Maintain external presence of the department through papers, patents, and presentations.
• Assess and mitigate risk to the technical program.
• Act in partnership with other Lead Engineers in AD/ADAS to solve high impact cross‑functional issues.
• Mentor and support engineers, fostering growth through code reviews, knowledge sharing, and collaboration with cross‑functional teams to align technical solutions with business goals.
• Design reusable software components as part of an integrated system.
• Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in‑vehicle testing.
• Build component and system level validation strategies that are leveraged to resolve complex interactions between components, increase performance, and evaluate design tradeoffs related to data‑driven practices.

MINIMUM QUALIFICATIONS

• 10+ years of professional experience with machine learning applications or applied science.
• MS or PHD in Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar.
• Deep expertise in ML algorithms, frameworks, data‑driven methods, supervised/unsupervised learning, multi‑modality, multi‑tasks training, and temporal/sequential modeling, and deployment of ML models at scale.
• Strong R&D potential in algorithm design, data‑driven approaches to safety, and large‑scale, complex systems architecture, and requirements‑driven development.
• Experience with utilizing deep learning frameworks to increase speed and ease of development.
• Experience with temporal data and/or sequential modeling.
• Experience with code quality and systems safety processes for production code delivery, with respect to data‑driven methodologies and model validation.
• Strong, practical understanding of real‑time system development, performance issues, testing modalities, and tradeoffs.
• Ability to write code in C++ and python.
• Ability to lead in globally distributed team.
• You are an excellent communicator, skilled collaborator, and principled colleague.

NICE TO HAVES

• Published research at top‑tier conferences (NeurIPs, CVPR and similar).
• Proven track record of deploying ML models at scale in self‑driving or related fields.
• Experience with computer vision (e.g. multi‑view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping).
• Experience with Planner ML system design (e.g. including supervised/unsupervised learning, reinforcement learning, diffusion policy).
• Experience with robot motion planning (e.g., trajectory optimization, sampling‑based planning, model predictive control).
• Japanese language skills.

For positions based in Palo Alto, CA, the base pay 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 to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you 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.