Engineering Manager, Digital Twin & Smart Factory Apps

Andurilindustries; Costa Mesa (CA); On-site; USD 191,000 - 254,000; Full time

Benefits offered by this job

Equity grants

Comprehensive benefits

Job summary

Anduril Industries is seeking an Applications Engineering Manager to lead the Connected Factory Applications team. You will own digital twin tools tracking equipment, tooling, and factory workflows, delivering real-time representations and integrations with robotics and OT systems.

The role requires leading a growing team in a fast-paced environment, building user-facing software on data-heavy, hardware-connected systems, and collaborating with cross-functional groups across Manufacturing,

Qualifications

• 5+ years of hands-on software development in modern languages (Python/TypeScript/Java).
• 2+ years leading engineers as a manager or tech lead.
• AI-native approach to engineering using AI tools to speed up development.
• Exposure to systems bridging IT and OT (IoT, edge) with reliability, security, scalability.
• Familiarity with data collection/processing/reporting for factory infrastructure; robotics or real-time data streaming a plus.

Responsibilities

• Lead, mentor, and grow a team of software engineers building Connected Factory applications.
• Own team planning, prioritization, and delivery with clear stakeholder visibility.
• Partner with Automation, Manufacturing, IT, and robotics teams to integrate software with hardware and OT.
• Drive best-in-class digital twin applications for real-time factory representation.

Skills

Python

TypeScript

Java

Leadership

Tools

IoT protocols

Edge computing

APIs

Job description

Anduril Industries is seeking an Applications Engineering Manager to lead the Connected Factory Applications team. You will own digital twin tools tracking equipment, tooling, and factory workflows, delivering real-time representations and integrations with robotics and OT systems.

The role requires leading a growing team in a fast-paced environment, building user-facing software on data-heavy, hardware-connected systems, and collaborating with cross-functional groups across Manufacturing,