Planning - Technical Lead
Applied Compute
Location
Sunnyvale
Employment Type
Full time
Department
Self-Driving Systems
About the role
As a Technical Lead for Motion Planning, you will guide the development of sophisticated motion planning modules for autonomous vehicles. You will lead efforts to design, implement, and deploy high-performance, kinematically-feasible planning algorithms that operate under strict timing constraints in diverse operational environments.
In this role, you will mentor engineers, set technical direction, ensure software quality, and partner with customers to understand requirements and deliver impactful solutions. You will collaborate cross-functionally and drive best practices to accelerate autonomy technology at scale.
At Applied Intuition, you will:
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
We're looking for someone who has:
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 at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $231,295 - $300,500 USD annually.