We are looking for an Embedded Software Engineer with 2-4 years of experience to help scale our edge deployment platform for inline manufacturing inspection. You'll be the "rubber meets the road" engineer - taking our proven AI-powered inspection system and making it reliable, scalable, and deployable anywhere in the world without heavy on-site support. This is a high-ownership role on a small, gritty team solving real problems for Fortune 500 manufacturers. If you're tired of building demos and want to ship software that runs in real production environments on factory floors, this is for you.
What will you be doing?

Building resilient edge software that reliably streams high-throughput image data through edge GPUs and runs inference services in diverse customer network environments
Engineering deployment and configuration systems so the platform can be shipped in a box, installed on a production line anywhere in the world, and work flawlessly without heavy on-site support
Improving reliability, observability, and recoverability of unattended services running 24/7 on factory floors
Partnering with ML engineers to integrate and accelerate models on edge hardware
Troubleshooting issues in the field during occasional on-site visits (1-2 trips per quarter) and feeding learnings back into more robust software

Tech stack
Python, C++, Linux, Edge GPUs (NVIDIA), Ethernet/Networking, Docker

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