Field AI

Field AI transforms industries through on edge robotic Autonomy. Exciting news! Beta version 2.0 is now released and deployed on all our robots worldwide with improved customer experience and data delivery, along with enhanced mobility! Next release: S...

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Principal Robotics Engineer

8 hours, 17 minutes ago

United States

Full-time

Lead

Robotics Engineer

IoT and Embedded Systems

C++ Git Grafana Linux Machine Learning Prometheus Python Reinforcement Learning

Apply Now

Field AI

Internet Software & Services

1-10

View All Jobs 3

Description

Lead technical work across perception, localization and mapping, planning, and control.
Identify and resolve algorithmic and systems bottlenecks affecting robot reliability and performance.
Define stable API contracts and improve production quality through testing, code review, profiling, and architectural discipline.
Align multiple engineering teams on technical direction without formal management authority.
Mentor senior and staff engineers, review designs, and strengthen organizational technical depth.
Translate research methods such as learned traversability, foundation models, and learned planning into deployed capabilities.
Lead root-cause analysis for fleet-wide reliability and performance issues.
Establish observability, diagnostics, and engineering practices for reliable field operations.

Requirements

Master’s or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, or equivalent industry experience.
10+ years of experience building production robotics or autonomy software with Principal- or Staff-level technical impact.
Deep expertise in modern C++ and Python, plus ROS/ROS2, Linux, and Git.
Experience architecting large-scale autonomy systems across at least two of perception, SLAM/localization, planning, and control.
Strong foundation in real-time systems, concurrency, and performance optimization.
Ability to lead complex technical efforts across teams and influence decisions without formal authority.
Excellent written and verbal communication and ability to explain architectural trade-offs.
Preferred: PhD with publications in robotics, perception, or machine learning.
Preferred: Experience with legged and wheeled robots, learning-based navigation or planning, simulation tools, fleet observability, or real-world fleet deployment.

Benefits

Generous salary range with compensation based on experience, role scope, skills, and the Irvine market.
Opportunity to test and deploy systems on real robotic hardware in field environments.
Collaboration with teams across the United States and internationally.
Inclusive workplace committed to merit-based evaluation and nondiscrimination.

Interested in this position?

Apply directly on the company website

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