Jobs at Overview

Develop and maintain responsive full-stack web interfaces and backend Python systems for an edge AI vision product. Build, deploy, test, and iterate on features managing data capture, labeling, training, and operator workflows. Collaborate with AI teams to prototype and ship user-facing features, prioritize UX, and optimize for resource-constrained and hardware-integrated environments.

Build and run Guadalajara operations: set up office and inventory hub, receive and prep shipments, create customs and freight processes, manage brokers/forwarders, maintain Cin7 inventory, coordinate with Finance and Sales, write SOPs, onboard hires, and handle ad-hoc operational tasks.

Own and operate the company-wide automated E2E test platform: build nightly CI/CD pipelines against real hardware (NVIDIA Jetson), manage physical test rigs and HIL infrastructure, eliminate flakiness, validate production signal paths (PLC/EtherNet-IP, digital I/O, HDMI), enable squad-level SDETs with frameworks and device pools, and triage system-level failures spanning hardware, OS, networks, and edge containers.

Hands-on operations intern for a Taipei hardware lab: unbox and prepare AI cameras, flash firmware/software, run checklist tests, label and package units, maintain lab organization, and support shipment documentation.

Lead a team to manage technical deployments in manufacturing, ensuring stable installations and high customer satisfaction. Responsibilities include project management, team leadership, and building operational infrastructures for scaling deployments.

Design, build, and maintain software for edge AI cameras. Requires strong Embedded Linux experience, C++, and Python skills. Prioritize reliability and performance across OS and application stack.

The Applications Engineer installs and integrates AI vision systems on production lines, troubleshoots issues, and provides customer support in manufacturing environments.

The Systems Integration Engineer will lead mechanical integration of AI camera systems in automation machines, ensuring robust designs and optimal field performance while supporting new line deployments and training customer teams.

The System Integration Engineer will oversee mechanical integration of AI cameras in automation machines, reviewing CAD designs and ensuring installations are robust and scalable. They will also provide on-site field applications engineering support, troubleshoot integration issues, and train customers on best practices.

Design, build, and maintain systems and application-level software for NVIDIA Jetson devices including OTA updates, Python code, and Linux system debugging.

The Vision Sales Engineer will manage sales in California, focusing on converting customer successes into expanded factory deployments of AI technology. This role involves technical selling, maintaining relationships, and driving urgency in closing sales.

As a Senior Software Development Engineer in Test, you'll design automated testing frameworks, ensuring the reliability of AI vision systems, focused on hardware and embedded software testing in manufacturing contexts.

As a Vision Engineer, you will focus on designing and implementing optical and lighting solutions for inspection problems in manufacturing, manage deployments, and train customer teams. You'll leverage your expertise to solve complex vision challenges and support AI performance.

The role focuses on mechanical integration of AI cameras into automation machines. Responsibilities include CAD review, problem-solving in production, and ensuring robust deployments in factory settings.

The Vision Engineer will solve complex inspection challenges using optics and lighting strategies in AI computer vision applications. Responsibilities include project ownership, field execution, and competitive analysis to enhance customer deployments of machine vision solutions.

The System Integration Engineer is responsible for the mechanical integration of AI cameras into automation machines, reviewing CAD designs, providing feedback, and ensuring robust deployments while supporting customer teams in troubleshooting and training.

The Application Engineer will maintain and optimize AI vision inspection systems, provide technical support, conduct training, and ensure system integration in manufacturing environments.

The Vision Engineer will design imaging strategies for challenging inspections, own customer deployments, and leverage competitive expertise in machine vision to deliver high-quality solutions.

The Vision Engineer will solve challenging inspection problems in manufacturing by creating and implementing advanced lighting and optics strategies, managing project deployment, and ensuring optimal AI performance through effective communication and training.

The Application Engineer will maintain AI vision inspection systems, provide technical support, handle installations, and optimize system performance across multiple customer sites.