Verified current Job

Software Engineer, Privacy & Data Governance

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA a

Job Full source details
Figure San Jose, San Jose, CA, United States Verified 16 hours ago
✓ 100% verification score · Source: Figure Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
DeadlineOpen on the verified official source at review time; no explicit closing date was captured.
EmploymentFull-time
CountryUnited States

Overview

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA a

Full job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for a Software Engineer to join the Security & Privacy team at Figure, focusing on the Privacy aspects for the robot as well as associated backend services. You will be instrumental in implementing privacy-enhancing technologies (PETs) and ensuring our products adhere to the highest standards of data protection and regulatory compliance. This role is centered on building privacy into the core architecture of our product, along with experience in AI and embedded systems.

Responsibilities

Design and implement new technical features that embed privacy controls and data minimization techniques into our product and tech stack (privacy-by-design)

Develop and maintain core privacy engineering services, including systems for user control, anonymization/pseudonymization, and data retention/deletion

Collaborate with AI, engineering, and security teams to define and enforce robust data governance and data protection practices

Develop and deploy custom tooling (scripts, APIs, libraries) to standardize privacy enforcement across the technology stack and monitor compliance

Partner with technical stakeholders to translate privacy requirements into clear, actionable technical specifications and scalable software solutions

Be a champion for user privacy and security

Requirements

Experience in several of the following privacy and security domains: anonymization / de-identification, data retention and deletion, data lineage or governance, data protection fundamentals, data minimization privacy-by-design, privacy-preserving techniques 

Strong software engineering (not scripting or automation) skills in C/C++, Rust, Golang, Python or similar

Prior experience building APIs or microservices specifically for data governance or privacy controls

Ability to collaborate with internal and external stakeholders whilst prioritizing tasks and work independently under minimal supervision.

BS in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field

8+ years of experience in the field of privacy engineering or related security or software engineering role

Passion for learning and helping others

Excellent verbal and written communication skills, with high attention to detail

The US base salary range for this full-time position is between $150,000 - $350,000 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.

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Verification notes

Verified current on Figure's official posting on 28 August 2026; privacy remit, San Jose location, source ID and apply destination checked.

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