Jobs at Overview

The Vision Sales Engineer will own revenue outcomes in their territory, driving sales of AI-enabled inspection solutions in manufacturing, developing relationships, and creating urgency for deployments and expansions.

The Application Engineer will oversee the mechanical integration of AI camera systems into automation machines, provide practical feedback on designs, ensure reliability, and support deployment and troubleshooting in factory environments.

As an Application Engineer, maintain and optimize AI vision inspection systems, install and integrate new setups, provide customer support, and refine system performance.

The Vision Sales Engineer engages with manufacturers in Monterrey, supporting customer onboarding, leading technical discovery, and facilitating successful deployments of AI vision systems.

Identify and engage U.S. manufacturing prospects, map decision-makers, uncover and qualify inspection use cases, disqualify non-opportunities, hand off qualified leads to Vision Sales Engineers, maintain HubSpot data, and iterate on messaging and targeting.

The Technical Product Marketing Manager will create technical content, run growth experiments, build PR relationships, and develop marketing processes to enhance product visibility and positioning.

The Head of Recruiting will lead the recruitment processes, manage a small team, collaborate with leadership, and ensure quality hires to scale the company effectively.

The Staff Embedded Software Engineer will design, build, and maintain software for NVIDIA Jetson-based edge AI cameras. Responsibilities include developing application code, implementing OTA updates, debugging Linux systems, and collaborating with hardware vendors.

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.