Lead Perception Engineer

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.

Requirements

• 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.
• Ability to write code in C++ and python.
• Ability to lead in globally distributed team.

Qualifications

• An excellent communicator, skilled collaborator, and principled colleague.

Skills

• 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

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.