Field Deployment Engineer - Autonomous AI & Robotics

Tera AI; San Diego (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Tera AI in San Diego is building a new generation of spatial AI to advance autonomous capabilities. The team combines leaders from Google, Google Brain, and Shield AI and is backed by VC funding.

The role involves field tests, demonstrations, and customer-facing work across the autonomy stack, with weekly travel to diverse sites and a focus on delivering robust, scalable AI for navigation, perception, and control.

Qualifications

• Experience deploying and managing autonomy software in production.
• Knowledge of latest computer vision techniques and geospatial AI.
• Experience shipping embedded AI across platforms (e.g. Nvidia Orin NX or Qualcomm).
• Knowledge of navigation stacks across platforms and hardware/software integrations (ArduPilot/PX4) across ground, aerial, and maritime platforms.
• Strong communication skills and experience working directly with end-customers.
• Knowledge of government requirements, including compliance and security considerations.

Responsibilities

• Coordinate and execute field tests, demonstrations, and pilot programs in dynamic environments, including rural terrain and wilderness.
• Extend new capabilities and improve product robustness by closely working with researchers and engineers.
• Work closely with customers and partners to implement, test, and develop solutions across the autonomy stack.
• Willing to travel weekly to new sites based on demo and internal testing requirements.
• Rapidly iterate in the field with the team on solutions to problems identified in the field.

Skills

Autonomy deployment

Computer vision

Geospatial AI

Embedded AI

Customer communication

Tools

ArduPilot/PX4

NVIDIA Orin NX

Qualcomm

Job description

Tera AI in San Diego is building a new generation of spatial AI to advance autonomous capabilities. The team combines leaders from Google, Google Brain, and Shield AI and is backed by VC funding.

The role involves field tests, demonstrations, and customer-facing work across the autonomy stack, with weekly travel to diverse sites and a focus on delivering robust, scalable AI for navigation, perception, and control.