Software Engineer - Full Stack​/Backend

What We're Looking For

We are looking for a Software Engineer to design and build full-stack applications that support our manufacturing operations. This is an opportunity to develop and deploy systems from cloud-native services and data pipelines all the way through IoT devices and user interfaces. The ideal candidate has a knack for teasing out product requirements in a fast-paced start-up environment and develop scalable backend solutions.

This is a unique opportunity to drive the future of software defined manufacturing for industrialized construction.

• Design, develop, and maintain full-stack production code. Drive decisions, lead development, and maintain software applications that support the manufacturing and operations teams.
• Build data collection pipelines, perform analysis, and create mission critical dashboards that directly influence operations and business development teams.
• Collaborate with highly interdisciplinary teams to digitize and optimize manufacturing processes and build our CAD to Fab pipeline.
• Validate hypotheses through data-driven experimentation and prototyping. Document, summarize, and advocate findings to peers. Execute on new ideas, carrying them from proof-of-concept to operations. Prototype features quickly, and harden them over time into production-capable software.
• Rapidly learn and assess new technologies, software, and methods.
• Shape a culture of innovation, quality, and mentorship within the quickly growing technology group.

• Demonstrated ability to ship code to customers at scale under aggressive timelines.
• Experience in managing stakeholders - users, customers, technical leaders, and senior management to collect requirements, describe system designs, and set product strategy.
• Excellent full-stack software development skills in modern programming languages (Python, C++, Typescript, etc.), databases, containerized frameworks and cloud services (EC2, Lambda etc.).
• Knowledge of cloud native architecture, with a particular focus on data centric applications (experience with Graph
  
  QL is a plus).
• Proficiency in professional engineering best practices; code reviews, code standards, source management, CI/CD, testing, and full software life cycle.
• Strong communication skills, ability to work well in a team environment.
• Self-motivated and able to solve problems independently.

• Experience in delivering software systems that orchestrate workflows across software + human + machine systems such as automated factories and modern e-commerce fulfillment centers.
• Experience with discrete simulation of large systems and sim-to-real design patterns.
• Experience with designing and delivering large scale data pipelines, integrating with BI tools (Tableau, Grafana, etc), and developing analytics tools.
• Worked with or led implementation of a PLM, ERP, or MES system.