Supply Chain Analytics Intern [Winter 2027]

Figure AI
San Jose, CA
On-siteCareer-pivot friendly

Who this role is best for

Supply Chain Management or Industrial Engineering students with data analysis skills and hardware supply chain experience will find this process-owning role at a robotics company in San Jose, CA.

Best fit for

  • Candidates with strong data analysis skills and a background in hardware supply chain management
    — “Advanced Excel (Power Query, lookups, pivots) and at least one of SQL or Python for pulling and joining data across systems”
  • Students or graduates with a clear focus on process ownership and documentation
    — “Clear written communication; able to document a process so someone else can run it”
  • Individuals who have supported supplier onboarding or sourcing in hardware companies
    — “Support onboarding of new vendors by collecting NDA, MSA, and quality documents for GSM review”

Things to consider

  • The role demands full-time availability for a specific 16-week winter term, which is a strict time commitment.
    — “Available full time for the winter term, January through April 2027 (approximately 16 weeks)”
  • Candidates must be graduating within one year, which limits eligibility to those in specific academic stages.
    — “Rising senior or recent graduate in Supply Chain Management, Industrial Engineering, Operations, Business, or a related field; must be graduating within one year”

How to stand out

  • Highlight hands-on experience with supplier scorecards and supplier readiness assessments.
    — “Pull supplier scorecard data for the GSM-run quarterly business reviews (QBRs)”
  • Showcase your ability to normalize supplier quotes and set cost reduction targets.
    — “Normalize quotes across suppliers, roll them up by sub-assembly for the current build, then set targets by sub-assembly for the next build”
  • Emphasize your experience with hardware supply chain tools and processes.
    — “Working knowledge of hardware supply chain basics: bills of materials, supplier quotes, purchase orders, and tooling”
  • Demonstrate your ability to manage and track complex timelines for tooling and NRE purchases.
    — “Track kickoff, T1 sample, first article inspection (FAI), and payment milestone dates against need dates”
  • Showcase your ability to create actionable documentation for handoff and team continuity.
    — “Document the handoff so the team can run it without you”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • manages supplier ramp
  • supports onboarding of new vendors
  • runs build kickoff readiness review
Typical background
supply chain managementindustrial engineering

Skills & requirements

Required

Supply Chain AnalyticsExcelSQL Or PythonHardware Supply Chain Basics

Preferred

ERPBI ToolsShould-cost Analysis

Stack & domain

Excel (power Query, Lookups, Pivots)SQL Or PythonHardware Supply Chain BasicsCommunicationTeamworkProblem-solvingSupply Chain ManagementIndustrial EngineeringOperations

About the role

Original posting from Figure AI via Greenhouse

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 Supply Chain Analytics Intern to join our Global Supply Management (GSM) team. In summary, you will own the GSM team's supplier ramp and sourcing readiness toolset as we move from one prototype build to the next, and at the end of your term run the build kickoff readiness review off it.

Responsibilities:

Own the sourcing status tracker: one record per part on the current and next build bills of materials showing awarded supplier, quote status, NDA and master supply agreement (MSA) status, and approved supplier list (ASL) qualification status. Refresh it weekly so GSMs and program management can see which parts have no supplier on paper.

Own the tooling and non-recurring engineering (NRE) tracker: every GSM-owned tooling and NRE purchase orders, with kickoff, T1 sample, first article inspection (FAI), and payment milestone dates tracked against need dates.

Own the build cost baseline and next-build cost targets: normalize quotes across suppliers, roll them up by sub-assembly for the current build, then set targets by sub-assembly for the next build. This becomes the baseline for the team's cost reduction tracking through future builds.

Own the supplier capacity view: committed supplier capacity against the next-build forecast by part and by source, flagging where a supplier cannot meet demand before build kickoff. Support onboarding of new vendors by collecting NDA, MSA, and quality documents for GSM review.

Pull supplier scorecard data for the GSM-run quarterly business reviews (QBRs) and build quote analysis packages that GSMs take into negotiations.

At the end of the term, run the build kickoff readiness review off your toolset and document the handoff so the team can run it without you.

Requirements: 

Rising senior or recent graduate in Supply Chain Management, Industrial Engineering, Operations, Business, or a related field; must be graduating within one year

Available full time for the winter term, January through April 2027 (approximately 16 weeks)

Advanced Excel (Power Query, lookups, pivots) and at least one of SQL or Python for pulling and joining data across systems

Working knowledge of hardware supply chain basics: bills of materials, supplier quotes, purchase orders, and tooling

Clear written communication; able to document a process so someone else can run it

Bonus Qualifications: 

Prior internship or co-op in sourcing, procurement, or supply chain at a hardware company

Hands-on experience with an ERP (NetSuite preferred) or a BI tool such as Power BI or Tableau

Exposure to should-cost analysis, quote normalization, or cost reduction tracking on a physical product

The US base salary range for this full-time position is between $35 - $40/hr. 

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 AI careers (Greenhouse)

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