FieldAI 路 7 months ago
1.52 Robotics Autonomy Engineer - Reasoning
Field AI is transforming how robots interact with the real world by building reliable AI systems. As a Robotics Autonomy Engineer - Reasoning, you will design and deploy decision-making systems that enable robots to operate safely in dynamic environments.
Artificial Intelligence (AI)TransportationEnterprise SoftwareRoboticsAutonomous VehiclesRobotic Process Automation (RPA)
H1B Sponsor LikelyUnicorn with $2B valuation
Responsibilities
Design and iterate on scalable, interpretable spatio-temporal-semantic world models
Fuse multi-modal sensing with semantics and embedded risk analysis
Ensure real-time performance with low latency in dynamic, uncertain environments
Develop reasoning and decision-making systems that remain reliable under uncertainty and enable success in complex real-world missions
Validate reasoning systems across challenging edge-case scenarios (e.g., sudden obstacles, degraded sensing)
Integrate reasoning with perception and control for closed-loop autonomy at high mission success rates
Implement diagnostic layers that log reasoning steps for interpretability and post-mission analysis
Develop fail-safe behaviors that trigger under uncertain or conflicting world-state estimates
Ensure adaptability to new environments while always prioritizing safety
Qualification
Required
Master's degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field, with focus on autonomy, reasoning, or decision-making
Strong foundation in algorithms for reasoning and decision-making under uncertainty (e.g., probabilistic methods, motion planning, decision theory, foundation models)
Demonstrated experience building and deploying autonomy systems in simulation and/or real-world robotic platforms
Strong software engineering skills in C++ and Python, with experience developing real-time robotics or AI systems
Track record of research contributions (e.g., publications, open-source projects) or demonstrated ability to advance state-of-the-art methods into practical systems
Preferred
Background in semantic reasonings, human-robot interaction, or multi-agent system
Familiarity with ROS or similar middleware for robotics development and deployment
Knowledge of hardware-aware optimization and acceleration of autonomy stacks (e.g., real-time constraints, GPU/TPU programming)
Experience deploying autonomy on physical robotic platforms in real-world field environments (e.g., outdoor, off-road, degraded sensing)
Proficiency in modern machine learning techniques relevant to robotics (e.g., reinforcement learning, foundation models, representation learning)
Company
FieldAI
General-purpose robotics AI for unstructured physical environments.
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
100%
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2026 (8)
2025 (9)
Funding
Current Stage
Growth StageTotal Funding
$405MKey Investors
Hyundai Motor GroupBezos Expeditions,Prysm Capital,Temasek
2026-02-22Corporate Round
2025-08-20Series Unknown路 $91M
2025-08-20Series A路 $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
2026-09-02
Company data provided by crunchbase