Robotics Engineer Intern, Mechanical [NPI]

Posted 6 Days Ago
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Austin, TX
In-Office
Internship
Artificial Intelligence • Information Technology • Robotics • Automation
The Role
The Robotics Engineer Intern will support manufacturing and engineering teams in building and testing robotic automation solutions, focusing on mechanical assembly and integration of hardware components.
Summary Generated by Built In
Join Contoro Robotics – Revolutionizing Warehouse Automation with Cutting-Edge Robotics

At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation.

We’re looking for talented and ambitious individuals to join us on this journey—helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!

About the Role

We’re seeking a Robotics Engineering Intern, Mechanical (NPI) next spring/summer to support our manufacturing and engineering teams in building and testing Contoro’s palletization solution. This internship is ideal for students or recent graduates in engineering who are eager to gain hands-on experience with computer vision, embedded systems, mechanical assembly, and system-level testing in a fast-paced startup environment. You'll work directly with experienced engineers and technicians and play a key role in Contoro’s new product introduction (NPI) process, including prototyping, iteration, and validation across both hardware and software components.

Job Responsibilities

  • Support integration of cameras, sensors, actuators, and control hardware

  • Assist with mechanical and electrical assembly of robotic components, wiring, and sub-systems

  • Perform system-level testing and help troubleshoot mechanical or electrical issues

  • Collaborate with technicians and engineers to interpret assembly documentation and drawings

  • Contribute to design iterations across the full stack, from mechanism design to firmware and software refinements

Qualifications/Requirements

Required:

  • Actively pursuing or recently completed a BS in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field

  • Some hands-on experience (coursework, projects, or internships) in hardware prototyping, assembly, or testing

  • Familiarity with mechanical tools, wiring, and electrical components

  • Eagerness to learn in a collaborative and hands-on environment

  • Strong communication and problem-solving skills

  • Chance of up to 30% travel needed

Preferred:

  • Experience with robotics projects (personal, academic, or work-related)

  • Exposure to SolidWorks and basic programming (Python)

  • Exposure to design simple operator interfaces

  • Previous internship or co-op in a manufacturing or hardware startup

What You’ll Gain

  • Real-world experience building and testing robots from the ground up

  • Mentorship from a team of experienced engineers and roboticists

  • Exposure to the full product lifecycle in a high-growth startup

  • A collaborative, mission-driven culture where your ideas and contributions matter

  • Health, dental and vision benefits

  • Free Office snacks

  • Flexible work hours

  • Pet friendly office

  • Ping pong and entertainment area

  • Continuous education program

  • Health and wellness reimbursement program

Top Skills

AI
Computer Vision
Embedded Systems
Python
Robotics
Solidworks
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The Company
HQ: Austin, Texas
35 Employees
Year Founded: 2022

What We Do

Contoro Robotics is an Austin-based robotics startup that is revolutionizing industrial automation with AI-powered robots, focused on automating the unloading of floor-loaded trailer and shipping containers from trucks. Their pioneering human-in-the-loop (HITL) model ensures over 99% success in real-world applications, bridging the gap between AI limitations and the commercial viability of advanced robotics solutions.

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