Software Architect

Responsibilities

• Define the architecture for the L4 trucking fallback stack, including interfaces to perception, behavior, planning, control, and the primary autonomy stack
• Design strategies for degraded driving, minimal risk maneuvers, and transitions to remote assistance
• Specify and review algorithms that detect autonomy degradation and trigger appropriate fallback behaviors or remote intervention
• Work closely with behavior, planning, and perception engineers to align safety logic and trajectories with fallback requirements and ODD constraints
• Architect and refine interfaces between the vehicle stack and the remote assistance platform for tele-guidance and safe maneuver completion
• Provide technical leadership and mentorship as we build the fallback stack team

Requirements

• Bachelors or Masters degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
• 6+ years of experience building autonomy software for L4 autonomous driving systems
• Strong programming skills in C++
• Experience designing or implementing fallback or degraded driving behaviors in an autonomous driving stack
• Hands-on experience integrating multiple autonomy subsystems into a cohesive system architecture

Preferred Qualifications

• Experience on L4 trucking or robotaxi programs, especially around safety-critical autonomy
• Experience with remote operations, tele-guidance, or remote assistance systems
• Depth in perception, behavior/decision-making, or motion planning for edge cases
• Familiarity with automotive safety and autonomy standards such as ISO 26262, ISO 21448, or UL 4600
• Experience defining and validating metrics and scenarios for autonomy performance near operational limits

About the Company

Applied Intuition is powering the future of physical AI. We are 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.