Senior Software Engineer - Fallback Stack
Sunnyvale, CA$145k - $245kfull-timePosted 8mo ago
About the role
Role focused on owning the L4 trucking fallback stack, defining how the vehicle detects uncertainty, executes minimal risk maneuvers, and scaling architecture across trucking and future autonomy programs.
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, influencing decisions across trucking and future SDS programs.
Qualifications
- 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.
Skills
Required:C++Autonomy softwareFallback/degraded driving
Last updated May 26, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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