Leads development of motion planning algorithms for autonomous vehicles, mentors engineers, architects planning modules integrating perception and maps, ensures deployment readiness, and collaborates with customers. Requires 5+ years in AV planning, C++ fluency, and BS in CS/Robotics.
231k – 301k/yr
On-site5+ YOEEngineering Management
About the role
Responsibilities
Lead and mentor a team of software engineers focused on onroad behavior software and motion planning for autonomous navigation
Develop state-of-the-art onroad behavior software and leverage ML components to achieve highway and city driving
Leverage lightweight map data (SD maps) and the outputs of a perception system to determine driving costs to use for planning
Architect and oversee the implementation of planning modules that integrate perception outputs, predictions, and lightweight map data for dynamic path planning
Ensure deployment readiness by establishing testing protocols and validation on production hardware and real-world road conditions, partnering with evaluation and vehicle teams
Collaborate directly with customer engineering teams, managing technical relationships to align deliverables with their autonomy goals
Drive continuous improvement in software practices, performance optimization, and innovation within the planning domain
Contribute technical leadership to internal project planning, prioritization, and roadmap development
Requirements
BS in Computer Science, Robotics, Applied Mathematics, or related engineering field with focus on planning
5+ years of experience building and leading production software teams, specifically in planning algorithms for autonomous vehicles
Proven ability to lead technical projects end-to-end and mentor junior engineers
Fluency in modern C++ and experience with performance-critical software
Strong problem-solving skills and ability to deliver practical, scalable solutions in fast-paced environments
Excellent communication skills for both technical leadership and customer-facing interactions
Nice to Have
Advanced degree (MSc or PhD) in Computer Science, Robotics, Applied Mathematics, or related engineering field with focus on planning
Experience with safety-critical software development and automotive industry standards
Hands-on experience testing planning systems on autonomous vehicles
Familiarity with machine learning applications in motion planning, combining traditional approaches with the state of the art
Compensation
Base salary range: $231,295 - $300,500 USD annually, plus equity and benefits.
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