andurilindustries

Senior Software Engineer, Data Engineering

At a Glance

Location
Santa Ana, California, United States
Experience
3+ years
Department
Software
Posted
2026-07-27T13:31:56-04:00

Key Requirements

Required Skills

CI/CDData EngineeringERPJavaKafkaPythonRustScala

Domain Knowledge

  • Automation
  • Banking
  • Education
  • Engineering
  • Finance
  • IoT
  • Logistics
  • Manufacturing
  • Media
  • Regulatory

Benefits & Perks

Health Insurance

ensive, competitive benefits package (available at little to no cost to empl

Requirements

3+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment.

Deep expertise in data engineering with strong foundations in algorithms, data structures, and computational complexity.

Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure.

Proficiency in programming languages used for data engineering and numerical computing (e.g., Python, Java, Scala, C++, Rust).

Experience with computational geometry, graph algorithms, or numerical optimization techniques.

Strong understanding of data architecture principles and best practices for handling large-scale datasets.

Responsibilities

As a Software Engineer, Data Engineering on the LOKI initiative, you will develop the data systems that power intelligent manufacturing scheduling and optimization.

You will build systems that generate manufacturing precedence graphs from 3D geometry and BOMs, and create optimization engines that replan production schedules in under 10 minutes when disruptions occur on the factory floor.

Partner with manufacturing engineers and factory operators to understand production workflows and translate them into software requirements.

Write production-quality code with comprehensive tests, participating in code review and architectural discussions.

Design and implement data access layers for computational geometry operations, enabling efficient extraction of features, dependencies, and manufacturing sequences from CAD models.

Develop graph algorithms that model manufacturing dependencies, resource constraints, and optimization objectives across complex assembly operations.

Team

Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system (ArsenalOS) that workers and planners use every shift, the scheduling engine that replans production in minutes instead of days, and the AI systems that eliminate manual toil from both the shop floor and business operations.

MDP operates at the boundary between Operational Technology and Information Technology. Our systems live where factory-floor machines, edge compute, and OT networks meet enterprise platforms and cloud infrastructure. We incubate solutions close to the production line, validate them with real operators building real hardware, harden them for reliability and security, and then scale them across multiple sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship.

This is not a support function. It is a strategic investment by Anduril in the premise that digitizing the manufacturing lifecycle end-to-end, from engineering definition through scheduling through execution through field feedback, is how Heavy Metal will out-build, out-adapt, and out-scale the traditional defense industrial base. MDP is scaling from a founding team to 70+ engineers across multiple U.S. sites. You will be joining early, working on hard problems with real operational stakes, and shaping how manufacturing software is built at Anduril from the ground up.