Product Engineer Intern: Build Demos & Lidar Integrations

Notre Dame; San Francisco (CA); On-site; USD 40,000 - 57,000; Full time

Job summary

Notre Dame is seeking a collaborative engineer to bridge customer feedback with product teams, distill system-level use cases, and develop verification plans. You will craft PoC solutions and demos, integrating lidar with leading Video Management Systems, and support sales with demos, data sheets, and ML-ready datasets.

The role requires hands-on experience in manufacturing or robotics, programming in Python for testing and analysis, and the ability to perform mechanical fit-ups and

Qualifications

• Pursuing or recently completed BS/MS in engineering or CS.
• Experience in manufacturing, robotics or electro-mechanical systems.
• Proficient in Python for test automation or data analysis.
• Ability to perform mechanical fit-up and installations.

Responsibilities

• Serve as a bridge between the field and internal teams by gathering and distilling customer feedback to inform product management and engineering.
• Develop system-level use cases, break them into sub-system/product components, establish test beds, and define and execute verification and validation test plans.
• Design and build proof-of-concept solutions and custom demos showcasing product capabilities and integration into customer technology stacks.
• Build value-add integrations between the Lidar detection platform and Video Management Systems such as Genetec and Milestone.
• Support the sales team by developing and maintaining technical sales assets including demo environments, presentation decks, data sheets, unique data sets for ML algorithm improvements, and best practice guides.
• Triage customer-reported bugs, diagnose product issues, and identify root causes.

Skills

Python scripting

Mechanical fit-up

Education

BS/MS in engineering or CS

Job description

Notre Dame is seeking a collaborative engineer to bridge customer feedback with product teams, distill system-level use cases, and develop verification plans. You will craft PoC solutions and demos, integrating lidar with leading Video Management Systems, and support sales with demos, data sheets, and ML-ready datasets.

The role requires hands-on experience in manufacturing or robotics, programming in Python for testing and analysis, and the ability to perform mechanical fit-ups and