Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Deployment Engineering team at Anduril is the cornerstone of product longevity and operational readiness. We champion sustainment as a first-class engineering discipline, deeply embedded in our product lifecycle. Our mission is to ensure that every Anduril product remains effective and reliable in the field, empowering our operators and customers with seamless support. We achieve this by partnering across engineering, operations, and external stakeholders, taking collective ownership of robust lifecycle management, comprehensive maintenance planning, technical data integrity, and strategic sparing. WHAT YOU'LL DO Architect Anduril's ILS/IPS digital toolchain from the ground up - designing integrated, automation-first workflows that collapse what traditionally takes teams of analysts months into repeatable processes that run in hours Define and own the authoritative Logistics Product Data (LPD) environment - a unified data model connecting FMECA, RCM, MTA, LORA, spares, provisioning, and technical data across programs. This single source of truth produces any contractual deliverable format on demand (GEIA-STD-0007, Power Log-J, MIL-STD-1388, provisioning documentation) Identify where AI and automation can accelerate sustainment analysis cycles, and build those capabilities into the toolchain Build integrations that propagate BOM changes, ECOs, and design decisions through sustainment artifacts automatically - replacing manual impact assessments with structured, tool-supported analysis tied to the LSA database Define the target-state sustainment toolchain architecture and lead the transition from legacy point-tools to an integrated environment - making build vs. integrate vs. replace decisions for each capability Drive feedback loops between field/depot operational data and sustainment planning models, ensuring estimates are continuously refined by reality rather than static assumptions Represent sustainment data architecture in enterprise PLM/ERP governance and cross-functional digital infrastructure decisions REQUIRED QUALIFICATIONS 7+ years in sustainment engineering, logistics engineering, or ILS roles within defense or aerospace Deep practitioner experience in Logistics Support Analysis - has personally built FMECA, RCM, LORA, maintenance task analysis, or provisioning data (not just oversight or review) Demonstrated ability to structure and manage Logistics Product Data in accordance with the S-Series ILS framework (S1000D, S3000L) and GEIA-STD-0007, using standard logistics information systems (PowerLog-J, COMPASS, SLICwave, EAGLE, or equivalents) Python or scripting proficiency - able to build data connectors, extend automation, and prototype integrations Systems-level thinking in data models and architecture - can define how information flows between tools and organizations, not just how to use individual applications Experience with Product Lifecycle Management systems (Teamcenter preferred) and understanding of how sustainment data integrates with ERP and configuration management Eligible to obtain and maintain an active U.S. Secret security clearance Ability to travel for on-site support, stakeholder engagement, and tool deployment PREFERRED QUALIFICATIONS Demonstrated interest in applying AI/automation to engineering workflows - has experimented with, prototyped, or deployed AI-assisted analysis toolsExperience with DoD 5000 series acquisition, CDRL management, and contractual deliverable compliance Systems-level thinking in data models and architecture - can define how information flows between tools and organizations, not just how to use individual applications Familiarity with S1000D technical publication standards and IETM authoring tools (RapidAuthor or equivalent) Understanding of Readiness-Based Sparing, supply chain data modeling, or provisioning workflows Prior experience at a defense prime frustrated by the pace of digital transformation - and a vision for how to do it differently Strong communication skills bridging technical sustainment language, software/data architecture concepts, and program management needs Proven ability to drive change against established legacy approaches in fast-paced environments Bachelor's degree in Engineering (Systems, Mechanical, Industrial, Aerospace) or Computer Science/Information Systems US Salary Range $132,000 — $198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit anduril.com . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Requirements

Must-haves

Identify where AI and automation can accelerate sustainment analysis cycles, and build those capabilities into the toolchain
Define the target-state sustainment toolchain architecture and lead the transition from legacy point-tools to an integrated environment - making build vs. integrate vs. replace decisions for each capability
Drive feedback loops between field/depot operational data and sustainment planning models, ensuring estimates are continuously refined by reality rather than static assumptions
Represent sustainment data architecture in enterprise PLM/ERP governance and cross-functional digital infrastructure decisions
7+ years in sustainment engineering, logistics engineering, or ILS roles within defense or aerospace
Deep practitioner experience in Logistics Support Analysis - has personally built FMECA, RCM, LORA, maintenance task analysis, or provisioning data (not just oversight or review)
Python or scripting proficiency - able to build data connectors, extend automation, and prototype integrations
Systems-level thinking in data models and architecture - can define how information flows between tools and organizations, not just how to use individual applications
Eligible to obtain and maintain an active U.S. Secret security clearance
Ability to travel for on-site support, stakeholder engagement, and tool deployment
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Nice-to-haves

Experience with Product Lifecycle Management systems (Teamcenter preferred) and understanding of how sustainment data integrates with ERP and configuration management
Systems-level thinking in data models and architecture - can define how information flows between tools and organizations, not just how to use individual applications
Familiarity with S1000D technical publication standards and IETM authoring tools (RapidAuthor or equivalent)
Understanding of Readiness-Based Sparing, supply chain data modeling, or provisioning workflows
Prior experience at a defense prime frustrated by the pace of digital transformation - and a vision for how to do it differently
Strong communication skills bridging technical sustainment language, software/data architecture concepts, and program management needs
Proven ability to drive change against established legacy approaches in fast-paced environments
Bachelor's degree in Engineering (Systems, Mechanical, Industrial, Aerospace) or Computer Science/Information Systems

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Benefits

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