Software Engineer, Production Solutions
Listed on 2026-05-23
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Software Development
Software Engineer
Staff Software Engineer, Production Solutions
Anduril Industries is a defense technology company on 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 real‑time, 3D command and control center.
ABOUTTHE TEAM
Arsenal
OS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle—from concept to build to field feedback—into one operating environment built for speed, traceability, autonomy, and continuous improvement. It includes the software that designs, plans, and executes work, as well as the factory‑facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain.
THE JOB
You will join Arsenal
OS as a Staff Software Engineer for our Manufacturing (Production Solutions) team, building the distributed systems that orchestrate Anduril’s production operations—work order management, scheduling, material flow, and capacity planning. This role is about building the technical foundation that makes Anduril’s hardware enterprise more adaptive as it scales.
- Define and drive technical architecture for Manufacturing Production Solutions—decide on system design, scalability patterns, integration strategies, and platform vs. build trade‑offs that shape team execution.
- Architect and implement complex distributed systems—build mission‑critical services, APIs, and tooling that enable safe, fast delivery across manufacturing production workflows (work orders, scheduling, material tracking, capacity planning).
- Lead by example with engineering excellence—establish patterns through hands‑on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor.
- Bridge product and platform teams—collaborate with Platform/Foundations to shape shared infrastructure based on Manufacturing needs while driving adoption of platform capabilities.
- Partner across MES product teams—integrate Manufacturing Production Solutions into cohesive manufacturing experiences, evolve data models across production/quality/supply chain domains, and drive technical consensus on cross‑cutting concerns.
- Represent manufacturing domain technically—work with architecture, security, operations, and infrastructure teams to ensure production operations requirements influence broader technical decisions.
- Raise the technical bar for the team—through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness.
- Remove friction and unblock execution—identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling.
- 12+ years of experience in a software engineering role building products in fast‑paced environments.
- Proven ability to influence technical direction across teams—drive architectural consensus, build alignment, and lead technical initiatives beyond a single team.
- Experience working with large enterprise applications and platforms with high availability requirements.
- Systems thinking and domain translation—ability to understand manufacturing operations requirements and design scalable technical architectures that enable production workflows at enterprise scale.
- Excellent communication skills, able to influence stakeholders, translate ambiguous manufacturing requirements, and build cross‑team alignment.
- U.S. Person status required and eligibility to obtain and maintain a U.S. security clearance (TS/SCI clearance eligible).
- Familiarity with AWS, Type Script, and React/Remix.
- Experience in hyper‑growth startup‑like environments—demonstrated…
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