Mechanical Design Engineer Internship/Co-op, Teleo
Winter/Spring 2025
$5,000 - $6,000 a month
Office located in Palo Alto, CA
Autonomous construction robotics
Open for applications
Autonomous construction robotics
21-100 employees
Open for applications
$5,000 - $6,000 a month
Office located in Palo Alto, CA
21-100 employees
Company mission
Teleo's mission is to revolutionize how we build the world.
Role
Who you are
- Bachelor's degree in mechanical engineering or similar engineering degree with a specialization in mechanical component design including integration of robotics and computer hardware systems
- Preferably with 2 years of experience or more
- Proven experience with CAD (SolidWorks, Catia, Creo, Onshape, or similar)
- Proven experience with vehicle component design including material selection, GD&T, prototyping, and manufacturing processes
- Experience with PLM and BOM management
- Experience with analysis, modeling, and simulation of mechanical systems including structural, vibration, and thermal
- Proven experience in system qualification (performing tests and data analytics): vibration, thermal, humidity, EMI/EMC, and ingress protection
Desirable
- 2+ years of experience developing and integrating sensor and computer hardware systems on autonomous vehicles or harsh environments
- Experience with Finite Element Analysis (FEA) tools such as Abaqus, Ansys, Nastran performing structural analysis and thermal analysis
- Experience with mechatronics including network hardware, power distribution systems, harness design, and troubleshooting electronics
- Python or C++, familiar with software version control development tools (Github or similar).Experience developing robotics platforms using middleware (such as ROS)
What the job involves
- As a Mechanical Design Engineer, you will be working with a small team to design, develop hardware specification documentation, prototype, analyze and manufacture computer and vehicle hardware
- This includes integrating sensors and computer hardware systems into large mining and construction vehicles
- You will also be tasked with testing and deploying these systems to ensure reliability in the field
- You will be regularly interfacing with the software engineering and autonomy teams
- The ideal candidate will have experience with mechanical component design, CAD, structural analysis, thermal analysis, BOM management, and common manufacturing and fabrication processes
Our take
Operating a massive piece of heavy equipment like a bullddozer for 8-10 hours a day is a challenging job. It's tiring, unsafe and requires a great deal of synchronisation with other workers and vehicles on the job. Teleo is lightening this burden for construction teams with remote and autonomous control of heavy equipment.
The startup has pursued a pragmatic “crawl-walk-run” approach to deliver the benefits of supervised autonomy now. Instead of having each machine in a fleet operated by a driver in a cab, they’re all being controlled remotely by a single human operator miles away from the job site.
The hope is that the technology matures toward fully autonomous heavy equipment operation. Like any new, next-generation technology, it can take some getting used to. However construction workers are simply adapting to robots on site as a another tool to get the job done, putting Teleo in a strong position as it sets out to disrupt the construction industry.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jun 2022
$12m
SERIES A
Dec 2021
$7.9m
EARLY VC
Total funding: $20.1m
Company HQ
Ventura, Palo Alto, CA
Articles
Leadership
Rom Clement
(CTO & Co-Founder)Previously Head of hardware & Technology Strategist at Lyft, working in self-driving. Before that, worked as a Senior Engineering Manager at Google in Google Maps. At Google Fiber, they grew a team responsible for the development of laser telecommunication systems for space and aerial applications. Rom has a master’s degree in aerospace engineering from the University of Michigan.
Vinay Shet
(CEO & Co-Founder)Prior to Teleo, they were the Director of Product Management at Lyft working on building Lyft's self-driving cars. Prior to Lyft, Vinay led Product Management at Google Street View, Google Maps, and Google reCAPTCHA launching several consumer products used by millions of users worldwide. Vinay has a Ph.D. in Computer Science, focusing on Computer Vision from the University of Maryland.
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