Software Integration Engineering 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
- Ongoing/completed Bachelor's, Master's or Ph.D. degree in Computer Science, Electrical Engineering or a related field
- Proficiency in one or more of the following: C++, Python, JavaScript
- Project work (preferably in a group setting) in Robotics, Computer Vision or related domains
- Strong enthusiasm for continuous learning, including reviewing and contributing to pull requests and design reviews
Desirable
- Experience using middleware frameworks such as ROS(2), ZeroMQ, MQTT, etc
- Experience with version control systems, particularly Git
- Experience working with sensor modalities such as cameras, IMU, GNSS, INS, lidar, radar, etc
- Experience with perception projects involving cameras and/or lidar for tasks such as object detection, scene segmentation, depth estimation, free space estimation, etc
- Self-motivated and capable of planning and completing tasks independently
What the job involves
- In the Software Integration Engineer intern role, you will work closely with various teams at Teleo to develop new features for and improve the overall user experience of Teleo’s Supervised Autonomy software stack
- As part of this role, you will touch a variety of subsystems including integration with sensors, UI/Frontend, safety critical controllers and wireless communication links
- Work with various teams to expand the Teleo fleet to new models of heavy machinery
- Advance the functionality of the Teleo system by developing new features that enhance the productivity of heavy machinery operators
- Deploy features to job sites and work with customer-facing teams and operators to collect feedback for improvements
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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