Senior Software Engineer - Fallback Stack

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company creates the digital infrastructure needed to bring intelligence to every moving machine on the planet.

We are looking for a software architect to own the fallback stack for our L4 trucking program. You will define how the vehicle detects uncertainty, executes minimal risk maneuvers, and set an architecture that scales across trucking and future autonomy programs.

• 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.

• Bachelor’s or Master’s 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.

• Experience on L4 trucking or robotaxi programs, especially around degraded driving, fallback behavior, or safety‑critical autonomy.
• Experience with remote operations, tele‑guidance, or remote assistance systems for autonomous vehicles or robots.
• Depth in perception, behavior/decision‑making, or motion planning for edge cases, fallback scenarios, or human‑intervention handoffs.
• Familiarity with automotive safety and autonomy standards such as ISO 26262, ISO 21448, and UL 4600.
• Experience defining and validating metrics and scenarios for autonomy performance and safety near operational limits.
• Prior experience helping to build a new autonomy capability or team from scratch.

Compensation includes a base salary ranging from $145,000 to $245,000 USD, equity, and benefits such as comprehensive health, dental, vision, life and disability insurance, 401(k) retirement with employer match, learning and wellness stipends, and paid time off.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Our policies comply with 41 CFR 60‑1.4(a), 60‑300.5(a), 60‑741.5(a), and Executive Order 13496, prohibiting discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.