Product Engineering Intern

Red Oak Technologies Inc.

San Francisco (CA)

On-site

USD 39,000 - 44,000

Part time

8 days ago

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Job summary

Red Oak Technologies Inc. is seeking a Product Engineer Intern to support Ouster in San Francisco's Mission District. This hands-on role focuses on LiDAR, robotics, software/hardware integration, testing, and product engineering.

The position is a 100% onsite contract internship with potential for conversion based on performance and business needs; you will develop system-level use cases, run V&V tests, and create demos with Python for automation and data analysis.

Qualifications

  • Pursuing or recently completed a technical degree in a related field.
  • Experience with robotics, manufacturing, automation or electro-mechanical systems.
  • Experience with Python or scripting for test automation or data analysis.
  • Comfortable working with software and physical hardware.
  • Strong troubleshooting, communication, and problem-solving skills.

Responsibilities

  • Support system engineering, product documentation, integrations, and verification & validation.
  • Develop system-level use cases, test environments, and execute V&V test plans.
  • Build proof-of-concept solutions and customer demos integrating LiDAR technology.
  • Support integrations with Genetec and Milestone platforms.
  • Gather customer feedback and communicate findings to product and engineering teams.
  • Use Python for test automation, data analysis, and engineering tasks.
  • Troubleshoot customer-reported issues and assist with root-cause analysis.
  • Get hands-on with hardware, including mechanical fit-up, installations, and system testing.
  • Help develop demo environments, technical documentation, data sets, and best-practice guides.

Skills

Python
Test automation
Troubleshooting
Communication
Problem solving

Education

B.S./M.S. in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science

Tools

Genetec
Milestone

Job description

$28–$32/hr W2 | Contract Internship | Potential for Conversion

Red Oak Technologies is seeking a Product Engineer Intern to support our client, Ouster, in San Francisco’s Mission District. This is a hands‑on opportunity for a current student or recent graduate interested in LiDAR, robotics, software/hardware integration, testing, and product engineering.

This is a 100% onsite contract internship with potential for conversion based on performance and business needs.

What You’ll Do
  • Support system engineering, product documentation, integrations, and verification & validation.
  • Develop system‑level use cases, test environments, and execute V&V test plans.
  • Build proof‑of‑concept solutions and customer demos integrating LiDAR technology into existing systems.
  • Support integrations with video management platforms such as Genetec and Milestone.
  • Gather customer and field feedback and communicate findings to product and engineering teams.
  • Use Python for test automation, data analysis, and engineering tasks.
  • Troubleshoot customer‑reported issues and assist with root‑cause analysis.
  • Get hands‑on with hardware, including mechanical fit‑up, installations, and system testing.
  • Help develop demo environments, technical documentation, data sets, and best‑practice guides.
What We’re Looking For
  • Currently pursuing or recently completed a B.S. or M.S. in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science, or a related technical field.
  • Internship, academic project, or hands‑on experience involving robotics, manufacturing, automation, or electro‑mechanical systems.
  • Experience with Python or another scripting language for test automation or data analysis.
  • Comfortable working with both software and physical hardware.
  • Strong troubleshooting, communication, and problem‑solving skills.
  • Willing and able to work 100% onsite in San Francisco’s Mission District.

Schedule: 100% Onsite

Pay: $28–$32/hr W2

Employment Type: Contract Internship

Conversion: Potential for conversion based on performance and business needs

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