Here’s a secret between you and me: even the world’s largest manufacturers, companies like Tesla and Toyota, waste billions of dollars every year making products with quality issues. Building high-quality things at scale is incredibly hard. It doesn’t just happen because you hire smart people or buy good machines. It requires seeing problems early, understanding them deeply, and acting in real time, something factories were never designed to do.

At Overview.ai, we’re changing that. We build custom hardware, edge AI, and software systems that give manufacturers real visibility into how their products are actually being made. Our technology helps catch defects earlier, reduce waste, and fundamentally improve how factories operate. This work matters, not just for our customers, but for keeping American manufacturing competitive in a world that’s moving faster every year.

Job Description

We are looking for a staff level embedded systems software engineer with full stack proficiency who will own the long term stability of legacy products and help the US region with software feature requests and product needs. This is not a people management or product management role, it’s a deep technical ownership role, with product-level context and autonomy.

This position is for the software engineering owner of the OV20i product and US regions link to the core engineering team. The product needs periodic bug-fixes, occasional stability upgrades, and rare additional features for existing or potential customers. Given the nature of the embedded product, the candidate must be able to independently, add features, fix problems, support the needs of the complex product. Some front end support will be available, but the testing and integration of new front end features will fall to this position.

Overview is a 40 person startup with a global footprint. Our largest concentration of customers are in East Asia and the United States. Our software engineering team is largely in Taiwan (English is the primary language for the team). Our product development and tightest customer relationships are also in Asia. The customers in the US are disconnected from the engineering development despite a large customer base and sales team in the area. In particular we have one product that is sold extensively in the US, but not widely in Asia. 

The candidate will report into the software team lead in Taipei, and 2-3 trips per year to Asia may be required. The role is remote, but the candidate will ideally be in the eastern half of the US and will be able to travel to customer sites in the midwest and southeast from time to time. Chicago or Atlanta are ideal locations

This position is for a senior "glue engineer" — someone who blends embedded depth with field pragmatism and cross-cultural collaboration. This is a mission-critical hire for OV20i’s stability and Overview’s expansion.

Some Responsibilities:

• Develop, and maintain embedded software for devices based on the NVIDIA Jetson platform
• Interface with camera software to capture, process, and analyze video streams in real-time
• Develop Python application code for system functionalities, including data processing and device control
• Implementing backwards compatible upgrade for our fleet of deployed cameras
• Identify and tune bottlenecks in the software stack, from the low-level kernel to the application
• Stay up-to-date with the latest technologies and best practices in embedded systems development and apply them to our projects.
• Interface directly with hardware vendors to identify root cause issues and resolutions.
• Debug rare corner case bugs and implement fixes.
• Execute feature changes based on user feedback, recommend and execute improvements

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in embedded systems development, preferably on Linux-based platforms.
• Proficient in programming with Python and familiar with Docker, JavaScript, C/C++.
• Demonstrated experience with the NVIDIA Jetson platform or similar embedded computing modules.
• Experience with software deployment strategies and tools for embedded systems.
• Deep knowledge of network protocols, device communication, and IoT technologies.
• Excellent problem-solving skills, with the ability to work independently as well as part of a team.
• Strong communication and collaboration skills, with a commitment to achieving project goals.
• Familiarity with PLC usage and protocols and hardware debugging are a bonus

We build edge AI inspection systems that run directly on GPU-enabled industrial cameras and deploy on real manufacturing lines. The hard problems are end-to-end and production-grade: designing low-latency inference pipelines, deterministic triggering and buffering, on-device data capture for fast debugging, safe/atomic updates, and fleet-scale rollout across many sites. Our team spans web developers (building local configuration and monitoring UIs that run on the camera), AI/ML engineers, embedded + firmware engineers, and AI infrastructure engineers who own training pipelines, data/versioning, deployment tooling, and reliability.