Full-Stack Engineer (Data & Systems Integration) at Figure AI

<p>Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.</p> <p>We are seeking a motivated <strong>Mid-Level Full-Stack Engineer</strong> to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.</p> <p><strong>Responsibilities:&nbsp;</strong></p> <ul> <li><strong>Data Pipeline Engineering:</strong> Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.</li> <li><strong>Full-Stack Development:</strong> Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.</li> <li><strong>Data Visualization:</strong> Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.</li> <li><strong>API &amp; Framework Design:</strong> Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.</li> <li><strong>Data Governance:</strong> Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.</li> <li><strong>Cross-Functional Collaboration:</strong> Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.</li> <li><strong>System Analysis:</strong> Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.</li> </ul> <p><strong>Requirements:&nbsp;</strong></p> <ul> <li><strong>Education:</strong> Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.</li> <li><strong>Experience:</strong> 3+ years of industry experience in software development or designing telemetry/analytics platforms.</li> <li><strong>Front-End Expertise:</strong> Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.</li> <li><strong>Back-End &amp; Data:</strong> Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).</li> <li><strong>Infrastructure:</strong> Experience with Docker for containerization and deployment.</li> <li><strong>Systems Interest:</strong> A strong interest in working on software systems that interact with real hardware.</li> <li><strong>Communication:</strong> Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.</li> </ul> <p><span style="font-weight: 400;"><strong>Bonus Qualifications:&nbsp;</strong><br></span></p> <ul> <li><strong>Platform Experience:</strong> Direct experience using <strong>Databricks</strong> for data engineering, Spark processing, or analytics.</li> <li><strong>Robotics:</strong> Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.</li> <li><strong>Advanced Analytics:</strong> Experience supporting anomaly detection or ML-based telemetry analysis pipelines.</li> <li><strong>Distributed Systems:</strong> Experience with distributed data processing tools such as PySpark.</li> <li><strong>Custom Systems:</strong> Prior experience working with custom hardware/software integrations.</li> </ul> <p>The US base salary range for this full-time position is between $150,000 - $240,000 annually.</p> <p>The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.&nbsp;</p>