Software Engineer

• Organized - Demonstrate your thoughtful approach to file management, time management, task prioritization
• Excellent communicator - You are able to communicate to articulate your thoughts clearly to various stakeholders
• Proactive initiator - You're able to identity issues and take initiative to fix them. You contribute beyond what’s in your job description
• Entrepreneurial spirited - You believe in the mission. You're comfortable wearing many hats and navigating ambiguous situations; you're resourceful and have a high tolerance for risk and failure.
• Curious - You take initiative to answer your own questions by researching, testing, and iterating, and bring clear recommendations to the team
• Hardworking - You hold a high bar for craft and reliability. You plan ahead, follow through, and value high quality outcomes and do what it takes to deliver

• Building dashboards and control panels using Next.js, React, and Tailwind CSS
• Writing backend APIs and real-time services with Node.js and WebSockets
• Managing MongoDB and InfluxDB for data storage and analytics
• Connecting to PLCs via ADS protocol for motion and telemetry data

• Bachelor’s or Masters in Computer Engineering, Computer Science, or related major
• Reliably commute to the headquarters in Hebron, Kentucky
• Ubuntu Linux - Comfortable working in a Linux dev environment (terminal, packages, permissions, SSH, and basic debugging)
• Python - Can write clean, working scripts/services and use common libraries for data + automation
• Java - Able to read/write basic Java code and work with OOP fundamentals
• C - Understands pointers/memory basics and can implement/debug simple low-level programs
• React - Can build and modify UI components, manage state, and work within an existing frontend codebase
• Node.js / Next.js - Can build basic APIs or full-stack features and understands routing, server/client, and async patterns

• C# - Able to read and extend existing C# codebases (basic .NET tooling, debugging, and writing simple features)
• Computer Vision - Build and debug basic vision pipelines on real camera data
• Machine Learning - Train, evaluate, and tune models with solid experiment hygiene

• Compensation - Interns receive competitive monthly salary. Specific compensation details will be discussed during the interview process.
• Flexibility - Work hours are adaptable to accommodate to interns’ existing commitments
• Office snacks and drinks - Free snacks and drinks in the office to keep you fueled during the day.

‍