Security Engineer, Enterprise Security
Company websitefigure.ai (Figure, opens in new tab)
Base salary $150K to $250K
Employer-published annual base salary, USD. Advertised base range in San Jose, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Jose, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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 headquartered in San Jose, CA.
We are looking for a Corporate Security Engineer to join the Security & Privacy team at Figure. Corporate Security owns the environment Figure's people work in: computers, identities, collaboration tools, and the company data flowing through all of it. The design and software behind our humanoid sit inside that environment. We keep access to managed devices, make them hard to compromise, and right-size what each can reach, without getting in the way of the people using them.
We are an engineering team. Controls ship as code, changes are versioned and reviewed, and posture is measured rather than asserted. This is a senior, hands-on individual contributor role. Nobody arrives deep in all of it; we want real depth in one of endpoint engineering, identity and access, or application access design, working knowledge of the rest, and room to build depth here.
Responsibilities:
Endpoints and Access
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Build the endpoint hardening controls across macOS, Windows, Linux, and ChromeOS. Our fleet runs on FleetDM, an osquery-based MDM managed through GitOps: you author the control, you write the query proving it landed, and you ship both in a merge request for review.
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Bind data access to a healthy managed device and the person it was issued to: phishing-resistant factors, session lifetimes, and device posture checks.
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Bring AI assistants and coding agents under enterprise management: configuration and permissions delivered and verified like any other endpoint control.
Applications and Third Parties
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Design application authentication, RBAC, and access lifecycle from first principles: identify what an application exposes, threat model it, propose control requirements, and guide owners to implement them.
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Contribute what each engagement teaches to the team's default deployment playbooks: authentication, logging, and network placement.
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Run security review and governance for SaaS and third parties: vendor assessments, OAuth grants, connector integrations, browser extensions, and data movement through the browser.
Visibility and Measurement
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Build the inventories this work depends on: application discovery, application posture management, grant tracking. Feed vulnerability management and build the controls that close what it finds.
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Threat model the corporate attack surface as a repeatable practice and feed the results into what the team works on next. Partner with Detection and Response on telemetry and with IT on rollout.
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Use AI where it earns its place: prepping access reviews, first-pass triage, and analysis that gets a human to a decision faster.
Requirements:
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Software engineering discipline in Python, Bash, PowerShell, or similar: integrations and internal tooling as normal work.
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Configuration-as-code and CI/CD applied to corporate infrastructure.
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Threat-modeling judgment that separates the problems worth solving from the ones existing controls already cover, and drives the former to completion.
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6+ years in corporate or enterprise security engineering.
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Bachelor's in Computer Science, Engineering, or Information Systems, or equivalent experience.
Bonus Qualifications:
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Endpoint security on at least two of macOS, Windows, Linux, and ChromeOS: MDM profile engineering, application allowlisting, endpoint security frameworks, and the OS internals behind them. Preferred: fleet-wide osquery telemetry, certificate-based device identity in production, a phased enforcement change shipped with a recovery plan, and devices that live off the corporate network.
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Identity and access: IAM, SaaS security, and zero trust from fundamentals rather than vendor docs, and being able to explain a SAML, OIDC, or SCIM integration for a developer who has never built one. Preferred: mTLS, 802.1X, SSH certificate authorities, and DKIM, DMARC, and SPF in production.
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Application access design: threat modeling what an application exposes, specifying authentication and authorization for the team building it, and designing the provisioning and revocation behind it. Preferred: securing agentic or LLM-integrated systems, including permission models, credential isolation, and egress control.
The US base salary range for this full-time position is $150,000 to $250,000 per year.
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.
Source: Figure on Greenhouse · View original posting (opens in new tab)
This listingSecurity Engineer, Enterprise Security$150K to $250K
PCB Layout Designer$150K to $250K
State Estimation Engineer, Data Collection Systems$150K to $300K
Logistics & Dispatch Manager$150K to $225K
Security Engineer, Application Security$150K to $350K
Security Engineer, Product and Device Security$150K to $350K
Reinforcement Learning Engineer, Whole Body Control$150K to $350K
Chart as a table
| Role | Published base |
|---|---|
| Security Engineer, Enterprise Security (this listing) | $150K - $250K |
| PCB Layout Designer | $150K - $250K |
| State Estimation Engineer, Data Collection Systems | $150K - $300K |
| Logistics & Dispatch Manager | $150K - $225K |
| Security Engineer, Application Security | $150K - $350K |
| Security Engineer, Product and Device Security | $150K - $350K |
| Reinforcement Learning Engineer, Whole Body Control | $150K - $350K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-17
Where this pay comes from
Location as the employer wrote it: San Jose, CA
The US base salary range for this full-time position is $150,000 to $250,000 per year.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
