Software Engineer - Manufacturing Intelligence
- Design and extend automated workflow pipelines that prepare parts for manufacturing, including build preparation, scheduling, and execution across Fabri’s custom 3D printing and casting processes.
- Build backend systems that orchestrate manufacturing workflows and dependencies across printing, casting, robotics, and post-processing.
- Integrate Fabri’s internal systems with third-party manufacturing and operator tools (e.g. Tulip) to enable execution, monitoring, and operator feedback.
- Develop software to coordinate robotic workflows on the factory floor, including interaction between machines, robots, and post-processing steps.
- Design and implement data collection systems for structured and unstructured manufacturing data, including machine logs, sensors, scans, and operator inputs.
- Design and maintain databases and storage systems (e.g., Postgres, TimescaleDB) for time-series, geometric, and operational data.
- Build analytics and monitoring tools to identify trends, anomalies, and root causes in manufacturing and process data.
- Develop and deploy rule-based or machine learning models for defect detection, castability assessment, and process monitoring.
- Close the loop by integrating model outputs back into automated workflows, scheduling decisions, and operator tools.
- Support cloud infrastructure and compute (AWS or similar) to scale data processing, workflow execution, and model deployment.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years of professional software engineering experience.
- Strong backend or systems engineering experience (C++17 or later and Python).
- Experience building data pipelines, backend services, or infrastructure in ambiguous, early-stage environments.
- Comfort working closely with manufacturing and operations teams.
- Strong communication skills and ability to work collaboratively across multidisciplinary teams, in a fast-paced, innovative environment.
- Knowledge of database design (e.g., Postgres) and data visualization techniques (e.g., Grafana).
- Experience with manufacturing execution systems, industrial software, or IoT data collection.
- Applied machine learning experience, especially with temporal or spatial data.
- Familiarity with AWS infrastructure and batch compute workflows.
- Front-end experience for building internal tools and dashboards.
- Prior startup experience or ownership of end-to-end systems.
- Opportunity to work at the cutting edge of digital manufacturing and AI-driven design.
- Broad technical scope and autonomy.
- Collaborative and innovative work environment with real technical authority.
- Competitive salary, meaningful equity, and strong growth opportunities.
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