Software Engineer

## About the company BrightSpot Automation builds cutting-edge testing equipment for the solar photovoltaic industry. Our flagship platform, IMPEL, is a sophisticated industrial automation suite that drives high-throughput, precision testing across the full PV manufacturing and QA pipeline. Our software team operates at the intersection of hardware control, computer vision, and AI — shipping real product that runs on factory floors around the world. We are a small, technical team where ownership is real and contributions ship fast. If you want to work on problems that combine machine vision, desktop application development, industrial protocols, and the latest in AI tooling, this is the role for you. ## About the role We are looking for a Software Engineer who is a strong Python generalist and a fast learner. You will contribute across the IMPEL platform — from UI development and image processing pipelines to hardware integration and AI-powered inspection features. You do not need to be an expert in every domain on day one; intellectual curiosity and a willingness to grow matter more than a perfect resume match. A key part of how we work is embracing agentic AI coding tools. We treat AI-assisted development workflows as first-class members of the development process, and we expect every engineer on the team to be comfortable leveraging them to move faster and build better. ## Responsibilities - Building and maintaining PyQt/PySide6 desktop application UI for the IMPEL platform - Developing and optimizing computer vision and image processing pipelines — format conversion, tiling strategies, object detection, and high-resolution image analysis (OpenCV, PyTorch) - Integrating industrial hardware including cameras (digiCamControl), I/O modules (Modbus/Ethernet IP), and test instruments - Packaging and distributing Windows desktop applications via PyInstaller and Inno Setup - Contributing to PyTorch-based AI inference pipelines for defect detection on high-resolution PV imagery - Working with license management, installer architecture, and software deployment tooling - Writing clean, maintainable Python across a Windows-primary codebase with real hardware in the loop - Using agentic AI coding tools (Claude Code, Copilot, etc.) as a core part of your daily workflow