Jobs at FieldAI

Lead QA for software releases, perform manual and automated UI testing, triage and document defects, build lightweight test automation scripts, ensure end-to-end data quality for 3D spatial/point cloud and BIM outputs, and collaborate with engineering and data teams to resolve processing issues and improve pipelines.

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

Build and operate the cloud foundation for the data platform: design compute, storage, and networking; manage IaC and GitOps; provision for large-scale sensor and ML workloads; own reliability, security, observability, cost management, and internal tooling to enable pipeline and analytics teams.

Design and build a scalable data platform and tooling for robotics/autonomy data ingestion, integration, and delivery. Build SDKs, connectors, and APIs (REST/gRPC, webhooks, CDC) to integrate diverse sources and downstream ML/BI systems, ensure schema/versioning/reliability, and optimize pipeline performance, scalability, and cost.

Lead and coordinate end-to-end field deployments of autonomous robotic systems: plan, manage logistics, track projects in Jira, serve as on-site customer contact, identify and mitigate risks, document outcomes, and improve deployment processes.

Manage end-to-end logistics for robots, spare parts, and equipment between HQ, customer sites, and field deployments. Coordinate domestic and international shipments, customs, freight forwarding, and carnet management. Maintain inventory, calibration status, shipping history, and deployment readiness. Prepare and inspect equipment for shipment and return, coordinate repairs, track costs, and serve as primary logistics contact across deployment, engineering, and commercial teams. Travel up to 25% to support site setup or retrievals.

Design and implement 3D machine learning models, process reality capture data, and integrate AI solutions in production environments for robotics applications.

As a Senior Software Engineer, you'll develop multi-robot simulations, integrate various models for realistic robot interactions, and maintain reproducible experiment infrastructures while collaborating with interdisciplinary teams.

As a Robotics Software Engineer - Robot Integrations, you'll integrate new robotic platforms, develop robot drivers, and ensure system performance in various environments.

The Robotics QA/QC Engineer will validate and test robotic systems through hands-on testing, monitor for issues, and collaborate with engineering teams to ensure quality and safety prior to deployment.

The Legal Counsel will drive commercial strategies, negotiate complex agreements, and provide legal advice to sales teams in a tech environment.

Lead core accounting operations including ASC 606 revenue recognition, contract reviews, technical accounting memos, monthly close, journal entries, reconciliations, and intercompany. Improve close quality, controls, NetSuite ARM workflows, processes, automation, and documentation. Mentor junior accountants and partner cross-functionally to scale finance for software and hardware revenue streams and support audits and external reporting.

As a Senior Product Designer, you'll define the visual identity, create design systems, and enhance user experiences for robotic platforms, collaborating closely across teams.

The role involves collaborating with the CFO on strategic initiatives, conducting analyses across various sectors, and leading cross-functional projects to drive operational efficiency and support decision-making.

The Technical Program Manager will oversee hardware program planning, execution, and cross-functional coordination, ensuring alignment and transparency in robotics projects.

As a Senior Machine Learning Platform Engineer, you will manage ML infrastructure, optimize pipelines, mentor junior engineers, and ensure observability and compliance in production environments.

As a Forward Deployed Engineer, you'll manage deployment and integration of AI systems, ensuring performance and reliability in customer environments while collaborating with teams to drive improvements.

This internship focuses on humanoid manipulation, requiring design and testing of manipulation strategies for robots, along with collaboration on robotics foundation models.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

The Forward Deployed Engineer will lead deployments of autonomous systems, ensuring performance and reliability while collaborating with customers and engineering teams.