Planning Technical Lead

Responsibilities

• Lead and mentor a team of software engineers focused on on-road behavior software and motion planning for autonomous navigation
• Develop state-of-the-art on-road behavior software and leverage ML components to achieve highway and city driving
• Architect and oversee the implementation of planning modules that integrate perception outputs, predictions, and lightweight map data
• Ensure deployment readiness by establishing testing protocols and validation on production hardware and real-world road conditions
• Collaborate directly with customer engineering teams to align deliverables with their autonomy goals
• Drive continuous improvement in software practices, performance optimization, and innovation within the planning domain

Requirements

• BS in Computer Science, Robotics, Applied Mathematics, or a related engineering field with a 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 technical leadership and customer-facing interactions

Preferred Qualifications

• Advanced degree (MSc or PhD) in Computer Science, Robotics, or Applied Mathematics
• 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

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.