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Autonomy Engineer — Planning & Orchestration

Tera AI

San Francisco, CAJobPosted 1w agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Work Authorization
Not specified

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Job overview

Tera AI is a stealth, VC-backed startup developing foundational spatial AI models for autonomy. The team includes AI pioneers and leaders from Google X, Google Brain, and space agencies, with commercialization experience across enterprise segments. This role focuses on planning and orchestration for autonomous systems, with work in San Francisco and San Diego and active field testing.

Skills & qualifications

RequiredNice to have

Skills

OrchestrationPythonVehiclesArtificial IntelligenceDronesCommercializationGoogle BrainPlanningBehavior TreesState MachinesTask AllocationFailure HandlingOperator InterfaceC++Multi-Agent CoordinationContested OperationsComms-Denied OperationsHuman-Robot Supervisory Control

Qualifications

Shipped Planning Layer on Robots

Full job description

Our work We are a well capitalized stealth VC-backed startup building a new type of spatial AI capable of universally solving autonomy. We innovate at the foundational layer of AI by training our own AI models.

Our team Our team is composed of AI pioneers and leaders from Google X, Google Brain, and Space Agencies. Several of us are repeat founders, with deep commercialization insights across multiple enterprise segments. We enjoy long, deep ideations around entirely unexplored AI use cases in autonomy (cars, drones, robots).

Location San Francisco and San Diego (onsite). Active Field Testing

Technical Skills

  • Planning: You have shipped a planning or behaviour layer on real robots that operated without close supervision.
  • Architecture: Behaviour trees, state machines, task allocation, or equivalent. Explicit and inspectable rather than emergent.
  • Failure Handling: What happens on loss of comms, localisation or power mid-task, designed rather than discovered.
  • Operator Interface: Supervising several vehicles without babysitting any of them.
  • Programming: Strong C++ and Python.
  • Domain-Specific: Multi-agent coordination, contested or comms-denied operation, human-robot supervisory control.

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