Lead Perception Engineer jobs in United States
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Woven by Toyota · 2 days ago

Lead Perception Engineer

Woven by Toyota is enabling Toyota’s transformation into a mobility company, focusing on human-centric innovation. They are seeking a Lead Engineer to drive the roadmap and technical strategy for software components related to vehicle understanding, emphasizing machine learning and collaboration across teams.

AutomotiveAutonomous VehiclesSoftware
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H1B Sponsor Likelynote

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

Qualification

Machine LearningDeep LearningC++PythonReal-time SystemsData-driven MethodsAlgorithm DesignJapanese LanguageCommunication SkillsMentoringCollaboration

Required

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

Preferred

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

Benefits

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

Company

Woven by Toyota

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Woven by Toyota improve the vehicle intelligence software and operation and accelerate the Toyota Mobility Concept.

H1B Sponsorship

Woven by Toyota has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (34)
2023 (15)

Funding

Current Stage
Late Stage

Leadership Team

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John Absmeier
Chief Technology Officer
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Edwin Han
Senior Partnerships Manager
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Company data provided by crunchbase