Jobs at Field AI

• Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis.
• Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces.

• Build and maintain the systems software that powers Field AI's robotic platforms.
• Bring up and integrate onboard compute, sensors, networking, and supporting hardware across different robot platforms.

• Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids
• Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems

• 1. Field Deployment & Operations
• Lead the end-to-end deployment of autonomous systems in customer environments.

• Develop and train whole-body loco-manipulation policies for humanoid robots.
• Deploy trained policies to physical humanoids and integrate them into our production software stack.

• Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
• Explore loco-manipulation problems that integrate perception, planning, and control.

• Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
• Explore loco-manipulation problems that integrate perception, planning, and control.

• Own day-to-day triage of issues across deployed sites and identify the highest-impact failure modes.
• Analyze robot behavior, logs, telemetry, and model outputs to diagnose issues across perception, prediction, and planning.

• Design and build scalable data architecture for large-scale multimodal robotics and ML datasets.
• Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality.

• Build and maintain pipelines that transform robot data into training-ready ML datasets.
• Automate data processing, filtering, selection, transformation, labeling, and dataset-generation workflows.

• Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
• Integrate physics, perception, and comms models so agents behave realistically at fleet scale.

• Drive strategic integration, debugging, and rapid capability development while providing essential software support
• Build robust utilities and tools to facilitate integration and automated testing for system software builds

• Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
• Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.

• Own and evolve the safety layer that runs independently of perception, planning, and learned policies, and extend it to new wheeled, legged, and humanoid platforms
• Build runtime monitors and collision avoidance backstops that check every commanded motion against the environment before it reaches the robot

• Advance Humanoid Manipulation Research and Development

Design, implement, and evaluate learning-based manipulation models and strategies for humanoid robots across a wide range of tasks.
Drive projects from early concepts through on-robot testing and deployment.
Develop loco-manipulation capabilities that integrate perception, control, and planning.

• Architect the software platform for physical AI—the foundation on which our autonomy runs across legged robots, ground vehicles, humanoids, and future embodiments
• Define the interfaces and contracts between major subsystems, and steward them as versioned, well-documented APIs that internal teams and external partners can depend on

• Stand up CI/CD for the humanoid monorepo: containerize, push to ECR, run unit tests, build, and gate on simulation system tests before promotion.
• Work with the platform team's self-hosted GitHub Actions runners (ARM, AMD, CUDA, Jetson-class targets) rather than standing up parallel infrastructure.

Job Title: Field Application Engineer

Location: Irvine, CA - Frequent Nationwide Travel Required

Job Type: Full time

Who are We?

Field AI is transforming how robots interact with the real world.

• Own 3D Representation for Navigation (core focus)
• Design and build the 3D scene/traversability representations our robots plan and act on — point cloud–based or learned implicit structures — optimized for real-time, on-robot use rather than offline reconstruction quality.

• Lead end-to-end deployment, commissioning, and operational readiness of FieldAI robotic systems at customer sites.
• Serve as the primary technical point of contact during customer deployments, pilots, and production operations.