Overview.ai is transforming manufacturing quality control with an advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enable faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.
About the roleWe are seeking a Senior Software Development Engineer in Test to take technical ownership of quality architecture across our physical AI vision platforms. This role is deeply focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines.
In this role, you will design, build, and maintain the complex automated testing frameworks that ensure the reliability, performance, and accuracy of our mission-critical hardware and embedded software. This is a highly autonomous, hands-on role where you will operate at the intersection of hardware, embedded linux, dockerized edge applications, and AIoT architectures. You will define and execute the overarching programmatic quality strategy for complex devices deployed in rigorous, real-world manufacturing environments.
What you’ll doAutomated End-to-End Testing: Design and execute fully programmatic E2E test flows that simulate real-world manufacturing inputs (e.g., synthetic video streams), trigger local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a strict environment.
Edge Automation Architecture: Architect and develop robust automated testing frameworks from scratch using Python, specifically targeting embedded Linux systems and edge AI devices.
Web Application & API Testing: Develop and maintain automated UI and API test suites for the web applications and local interfaces used by customers to configure, monitor, and interact with our vision systems.
Hardware-in-the-Loop (HIL) Testing: Build and scale HIL testing infrastructure to simulate factory environments, stress-testing physical camera systems under real-world compute, memory, and thermal constraints.
System-Level Debugging: Investigate complex failures spanning physical hardware, custom baseboards, Linux OS kernels, local network protocols (TCP/IP, RTSP), web application layers, and edge Docker containers.
4+ years of experience as a Software Development Engineer in Test (SDET), Embedded Test Engineer, or Software Engineer, with a proven track record of deep technical expertise and project ownership at a Senior or Staff level.
Hands-on experience with the NVIDIA Jetson ecosystem or similar resource-constrained embedded linux systems.
Expert proficiency in Python for building complex automation frameworks, CI/CD integrations, and device interaction tooling.
Proven experience testing web applications and APIs using modern automation frameworks (e.g., Playwright, Cypress, or Selenium).
Deep experience programmatically testing AIoT edge devices, embedded Linux systems, and local network protocols.
Professional experience with or a strong passion for utilizing AI agent tools to architect solutions and solve difficult technical problems efficiently.
Excellent problem-solving skills with an independent ownership mindset and the ability to confidently navigate ambiguity in a hardware-software co-design environment.
Experience validating computer vision applications, OpenCV, or real-time video processing streams.
Industrial automation background or familiarity with industrial network protocols (PLC, EtherNet/IP, Modbus, etc.).
High Agency, Zero Bureaucracy: You are coming in as a Senior Engineer, not a ticket-taker. You define the test architecture. You pick the tools. You decide how we validate our products. We hire smart people and get out of their way.
High Autonomy: We believe in highly autonomous and creative builders. You will have high ownership over your specific hardware and software testing domain.
Work Smarter, Not Harder: We don't just build AI; we use it. We love that you want to use AI agents to solve problems. We don't measure hours; we measure leverage. If you can use an AI agent to automate 80% of the grunt work, we’ll high-five you, not ask why you aren't typing.
Growth: Join a fast-growing, fast-moving, and profitable startup.
Top Skills
What We Do
Overview provides real time fault detection that uses cameras and AI to monitor manufacturing equipment.
