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.
We are seeking a motivated Mid-Level Full-Stack Engineer 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.
Responsibilities:
- Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
- Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
- Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
- API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
- Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
- Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
- System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.
Requirements:
- Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
- Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
- Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
- Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
- Infrastructure: Experience with Docker for containerization and deployment.
- Systems Interest: A strong interest in working on software systems that interact with real hardware.
- Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.
Bonus Qualifications:
- Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
- Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
- Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
- Distributed Systems: Experience with distributed data processing tools such as PySpark.
- Custom Systems: Prior experience working with custom hardware/software integrations.
The US base salary range for this full-time position is between $150,000 - $240,000 annually.
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.