About the job
Overview.ai is revolutionizing the landscape of manufacturing quality assurance through an innovative edge-enabled AI vision system. Our technology harnesses sophisticated deep learning algorithms, ensuring a user-friendly experience and swift implementation. Our system adeptly manages a diverse range of inspection responsibilities, from meticulous assembly verification to defect identification and orientation checks, providing real-time, high-precision inspections that effortlessly integrate into existing production workflows.
Endorsed by industry leaders such as Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our camera solutions facilitate accelerated throughput, minimized waste, and reduced inspection expenditures, eliminating the intricacies and high costs associated with conventional vision systems.
About the Role
We are on the lookout for a Senior Software Development Engineer in Test to assume technical ownership of the quality architecture across our physical AI vision platforms. This pivotal role is primarily focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines.
In this capacity, you will be responsible for designing, constructing, and maintaining intricate automated testing frameworks that guarantee the reliability, performance, and precision of our mission-critical hardware and embedded software. This highly autonomous and hands-on role places you at the nexus of hardware, embedded Linux, Dockerized edge applications, and AIoT architectures. You will define and implement the comprehensive programmatic quality strategy for complex devices deployed in demanding, real-world manufacturing settings.
What You’ll Do
- Automated End-to-End Testing: Create and execute fully programmatic E2E test flows that replicate real-world manufacturing inputs (e.g., synthetic video streams), initiate local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a controlled environment.
- Edge Automation Architecture: Design and develop robust automated testing frameworks from the ground up using Python, specifically focusing on embedded Linux systems and edge AI devices.
- Web Application & API Testing: Develop and sustain automated UI and API test suites for the web applications and local interfaces employed by customers to configure, monitor, and engage with our vision systems.
- Hardware-in-the-Loop (HIL) Testing: Construct and expand HIL testing infrastructure to replicate factory environments, rigorously stress-testing physical camera systems.
