Software Engineer (Stealth Predictive Maintenance SaaS startup)
ATX
Company Overview:UP.Labs is seeking a junior to mid level software engineer to join the founding team. You’ll work alongside data scientists, product managers, and aviation experts to build production-ready tools that automate and optimize critical operational workflows for a rapidly scaling SaaS startup focused on aircraft maintenance planning. This role is based in Austin, Texas!
Role Overview
Qualifications
UP.Labs Summary:
We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
Our platform is unique in three ways:
We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. We rapidly ideate concepts from scratch and vet them for early indicators of product-market fit.
Location: Hybrid in Austin, TX
Role Overview
- Collaborate with data scientists and product teams to build user-facing tools and backend systems that power predictive maintenance and scheduling
- Develop scalable, maintainable code across the stack (primarily Python + cloud infrastructure)
- Help deploy, monitor, and maintain ML models in production settings
- Write unit/integration tests and follow best practices for software engineering and DevOps
- Participate in technical design discussions and contribute to system architecture
- Support early customer pilots and help shape product direction based on feedback
Qualifications
- Degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
- Proficiency in Python and familiarity with cloud services (AWS, GCP, or Azure)
- Comfortable working with APIs, backend services, and basic frontend tools (React, Flask, or similar frameworks)
- Strong interest in data systems, ML infrastructure, and/or aviation technology
- Curious, collaborative, and eager to learn—especially in fast-moving startup environments
- Experience with CI/CD pipelines, containerization (Docker), or database design is a plus, but not required
UP.Labs Summary:
We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
Our platform is unique in three ways:
- Risk: We reward our entire team and ecosystem of partners with meaningful equity
- Technology: We build and launch scalable technology products that form the basis for each venture
- Industry Focus: We stay focused on the underlying fabric of society mobility and transportation
We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. We rapidly ideate concepts from scratch and vet them for early indicators of product-market fit.
Location: Hybrid in Austin, TX
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Engineering Jobs
Tags: APIs Architecture AWS Azure CI/CD Computer Science DevOps Docker Engineering Flask GCP Machine Learning ML infrastructure ML models Pipelines Predictive Maintenance Python React
Perks/benefits: Equity / stock options Startup environment
Region:
North America
Country:
United States
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