FieldAI · 3 hours ago
Robotics Autonomy Engineer-Planning and Control
Irvine, CA
Full-time
Onsite
Mid, Senior Level
$70K/yr - $300K/yrField AI is transforming how robots interact with the real world by building advanced AI systems for robotics. As a Robotics Autonomy Engineer, you will design and implement motion planning and control algorithms that enable robots to navigate complex environments with precision and efficiency.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Develop Robust Motion Planning Algorithms
Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments
Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities
Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts
Advance Control and Planning Integration
Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems
Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance
Validate and Test Across the Stack
Build and maintain testing pipelines from unit-level validation to full robot deployment
Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation
Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness
Diagnose and Improve Field Performance
Investigate and resolve issues arising from field deployments through structured data analysis and debugging
Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance
Qualification
Required
Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus)
Strong understanding of motion planning, trajectory generation, and control systems
Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid)
Solid programming skills in C++ and Python on Linux-based systems
Familiarity with robotics middleware such as ROS/ROS 2
Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders
Preferred
Exposure to real-world deployment of autonomous systems
Background in optimization, control, or numerical methods for trajectory planning
Familiarity with learning-based or hybrid planning approaches
Contributions to open-source planning or control frameworks
Familiarity with safety-critical autonomy and industrial robotics use cases
Benefits
Full benefits
Equity
Generous time
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
Founded in 2023
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase