Jobs at Overview

Design and deploy advanced machine-vision imaging solutions for manufacturing inspections. Own lighting, optics, lenses, filters, spectral methods, and image-quality troubleshooting for challenging parts and production environments. Lead customer deployments, field experiments, training, documentation, stabilization, and project delivery. Support pre-sales solutioning by applying expertise in machine-vision competitors and optical strategies. The role requires Mandarin fluency, working English, strong communication, and independent factory execution.

Own end-to-end recruiting for Overview AI’s China operation, including sourcing, assessing, and closing senior and technical talent. Build regional recruiting playbooks, calibration standards, talent maps, and scalable processes. Advise hiring managers on role definition, candidate evaluation, and market strategy while delivering a high-quality candidate experience. The role also develops manufacturing talent networks, partners with global recruiting leadership, and mentors future recruiting team members in a Shanghai-based hybrid environment.

Install and validate AI vision hardware on live manufacturing lines, integrate systems with PLCs, troubleshoot electrical and communication issues, tune production performance, train plant personnel, document configurations, and support deployments through ramp-up. Serve as the on-site technical contact while providing product feedback to engineering.

Identify U.S. manufacturing accounts, map quality and engineering decision-makers, conduct discovery, and qualify or disqualify inspection opportunities. Tailor outbound messaging, uncover operational pain points such as downtime and false positives, maintain accurate HubSpot records, and provide actionable handoffs to Vision Sales Engineers. Work U.S. business hours from LATAM while iterating on outreach and learning technical manufacturing concepts.

Lead multi-site AI inspection deployments from signed contract through stable production. Manage applications engineers and technicians, customer stakeholders, staffing, scheduling, commissioning, acceptance, and handoff. Build repeatable deployment processes, training frameworks, dashboards, and continuous-improvement systems. Translate field issues into product and engineering improvements while tracking deployment performance and driving predictable customer expansion.

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.

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.

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.

Build end-to-end web tools and GenAI applications for an edge-AI vision platform: React/TypeScript frontends, Python backends, LLM-powered assistants, synthetic data generation, agent-style workflows, and integrations with camera fleets and inference outputs.