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Embedded Software Engineer (San Francisco) Hybrid (San Francisco, CA)

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Embedded Software Engineer (San Francisco) at Overview

Overview.ai is a leading innovator in next-generation computer vision technology for complex manufacturing. Our smart camera is revolutionizing manufacturing efficiency and quality, backed by top-tier investors. This is an opportunity to join a team that’s not only impacting the industrial vision technology sector but also shaping global manufacturing standards.

Job Description

We are seeking a detail-oriented and experienced Embedded Software Engineer to join our team. The ideal candidate will be responsible for designing and building production software for an embedded AI camera product and working with low-level OS, containerization, and hardware. At Overview, you would be working on problems such as optimizing an OS for lower jitter, developing high-impact features for our customers, and improving overall product reliability. If you like working on things like designing a framework for delta updates in the field, or working with bits and bytes at the hardware level, we’d love to talk to you.

Job Location

San Francisco, CA, United States (hyrbid - 3 days per week in office)

Years of Experience

Candidates should have 3-5 years of relevant experience in the field.

Responsibilities As an Embedded Software Engineer, you will take ownership of ensuring rapid delivery of high-quality bug-free products and features to our customers on our Jetson Linux system.

Work directly on our device client code that sits on the Nvidia Jetson.

Interface directly with hardware vendors to identify root cause issues and resolutions.

Work on interfaces for device I/O with factory systems like PLC's.

Manage and develop an OTA deployment framework for a fleet of cameras in the field.

Improve reliability of the camera system, from file system reliability to network socket resilience.

Required Skills Experience with Linux SBCs such as Raspberry Pis or NVIDIA Jetsons.

Experience writing production software for an embedded system in Python, Docker.

Familiarity with PLC usage and protocols and hardware debugging.

Experience troubleshooting and analyzing remotely deployed software systems.

Familiarity with electronics, wiring, and troubleshooting.

Qualifications 3-5 years of experience in software engineering, or embedded engineering.

Proven abilities in delivering production software on an embedded Linux system.

Strong analytical and problem-solving skills.

Excellent communication and teamwork abilities.

How to Apply

Interested candidates are encouraged to submit their resume and a cover letter through our careers page . We look forward to discovering how your expertise can contribute to the success of Overview

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