Robotics Engineer — Vehicle Control & Motion Planning

Tera AI; San Francisco (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Tera AI is a stealth VC-backed startup building a spatial AI platform to universally solve autonomy, training our own AI models. The team includes AI pioneers from Google X, Google Brain, and space agencies, with field testing in San Francisco or San Diego on-site.

The company emphasizes deep ideation around new autonomy use cases in cars, drones, and robots, with a history of leadership and deep commercialization insights across multiple enterprise segments.

Qualifikationen

• Proficiency in C++ with Python for robotics programming.
• Experience with vehicle controls and state feedback.
• Knowledge of motion planning and obstacle avoidance.
• Understanding of safety envelopes for loss of localization or traction.
• Experience with ROS 2 preferred.
• Experience with off-road/ground vehicles domains bonus.

Kenntnisse

C++

Python

Control systems

Vehicle dynamics

Motion planning

Safety design

ROS 2

Drive-by-wire

CAN integration

Tools

ROS 2

Openpilot

Drive-by-wire

CAN bus

Jobbeschreibung

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 or San Diego (on-site). Active Field Testing

Technical Skills

• Controls: You have put a controller on a physical vehicle that could hurt someone and lived with the result. State feedback, trajectory tracking, real intuition for actuator limits and latency.
• Vehicle Dynamics: Modelling on loose and uneven surfaces, and a clear sense of where the model stops being true.
• Motion Planning: Local planning and obstacle avoidance on terrain that was never mapped.
• Safety: Designing the envelope — what the vehicle does when it loses localisation, comms or traction.
• Programming: Strong C++, comfortable in Python.
• Robotics: ROS 2 useful, not required. Comma / openpilot, drive-by-wire, or CAN integration a plus.
• Domain-Specific: Off-road, agricultural, defence or motorsport ground vehicles. Bonus if you own something with a motor that you have modified.