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Autonomous Production seeks a hands-on engineer to serve as the expert-in-the-loop for our AI-driven additive manufacturing platform. You’ll rapidly modify 3D files to maximize throughput while bridging polymer science with live production architectures.
The role blends mechanical engineering, materials science, and ML to refine outputs and scale a high-speed production ecosystem. Master’s or PhD preferred; relocation to San Rafael, CA is required.
At Autonomous Production, we combine agentic robotics with a new "factory OS" that allows factories to operate like data centers, with software gross margins.
Join us as we build a future where carbon emissions are 60% lower and local economies have access to affordable robotics and AI that materially improve lives across the socioeconomic spectrum. These are the benefits our initial customers are already experiencing.
Our venture-backed company is growing rapidly, help us continue building a version of the future where AI is used to generate outsized value while also creating a more sustainable, equitable, abundant world.
You are the expert-in-the-loop on our AI platform. Your job is rapid modification of 3D files to optimize them for high throughput additive manufacturing.
This role operates at the intersection of mechanical engineering, physical science and machine learning, you will routinely bridge the gap between polymer research and live production model architectures.
At Autonomous Production, you’ll join a team that values innovation, creativity, and a bit of fun. You’ll have a direct impact on our industrial robotics products and be part of shaping the future of automation.
Autonomous Production is an equal opportunity employer. We evaluate all qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. US citizenship is required for this role due to the nature of our customer base and applicable export control regulations (ITAR/EAR).