Founding Software Engineer

Company: Confidential - Seed-stage advanced-materials manufacturer
Location: Los Angeles, CA (on-site 5 days per week at a 36,000 sq ft facility in Florence; relocation support available)
Compensation: $140,000 - $200,000 + 0.2% - 1.0% equity
Employment Type: Full-time
Visa Sponsorship: Not available; must meet ITAR requirements

About the Company

A seed-stage company combining AI software, robotics and full-stack manufacturing to industrialize advanced composite materials for defense and aerospace.

The Role

Our client is hiring high-agency, full-stack Founding Software Engineers (2+ years of production shipping) excited to work where software meets the physical world. You will work as an individual contributor alongside world-class hardware and automation engineers, with no ticket queues and no dedicated PM or QA: you find what matters, own it end to end and ship fast.

What You Will Do

• Build Argos, the company's custom operating system for everything from raw material to finished part: supply chain, quoting, pricing, inventory and operational flow.
• Develop Argos Sim, the simulation layer that post-trains AI models on factory-floor data to predict how composite parts behave.
• Own factory automation software: ingest real-time equipment telemetry, orchestrate robotics and build a 24/7 digital twin of the production line.
• Design backend systems that mirror the physical world, in the style of a Palantir ontology applied to a manufacturing facility.

What You Bring

• 2+ years shipping production software across a TypeScript frontend and a Python or Go backend
• A record of building end-to-end products
• Comfort in fast-moving, ambiguous environments with full autonomy
• Excitement about software for physical manufacturing
• US person status (ITAR); ability to work on-site in Los Angeles 5 days a week

Nice to Have

• Manufacturing software, data engineering, CAD, computational geometry or simulation experience

Tech Stack

TypeScript, Python, Go, CAD, computational geometry, 3D environments, digital twin, robotics/sensor integration, AI/ML post-training and simulation