Senior Embedded Systems Engineer
About the role
Senior Embedded Systems Software Engineer with strong Embedded Linux experience focused on NVIDIA Jetson-based edge AI cameras. Hands-on role developing OS and application level software for resource-constrained devices, including OTA, Python/C++ components, Docker packaging, and collaboration with hardware and backend teams.
Responsibilities
- Develop and maintain system-level and application-level software for reliability in the field for edge AI devices
- Implement and own OTA for deployed device fleet
- Write Python application code for device control, edge logic, monitoring, and data flows
- Work with C/C++ components for performance-critical functionality
- Debug Linux systems involving multiple services, containers, and custom applications
- Tune performance across the stack: kernel, services, containers, and user applications
- Use Docker containers for packaging and deploying edge software components
- Collaborate with hardware vendors to diagnose and resolve system-level issues
- Work with backend/API teams to maintain reliable device–server communication
- Mentor the team through code review, coaching, and general feedback
Qualifications
- Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
- 5-7+ years of experience in Linux-based embedded systems or systems software
- Solid C++ skills in a Linux environment and/or Python development experience
- Experience with SBC or Embedded Linux platforms
- Understanding of networking fundamentals (TCP/IP, routing, TLS/HTTPS, certificates)
- Experience debugging Linux applications and services (systemd, logs, containers)
- Experience with Docker containerization
- Strong problem-solving skills and independent ownership mindset
- Clear communication and collaboration skills
Skills

About Overview
AI vision sensors for manufacturing
Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.
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