Robotics Engineer, Teleo
Customer Support
More information about location
Office located in Palo Alto, CA
Autonomous construction robotics
Open for applications
Autonomous construction robotics
21-100 employees
Open for applications
More information about location
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
- The ideal candidate will have proven experience and a clear passion for customer success, along with a strong focus on ensuring system uptime
- You should have a mindset geared towards developing scalable solutions and processes
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
- 2-3+ years of professional experience working with Linux-based operating systems (such as Ubuntu)
- Familiarity with command line tools for debugging (such as ping, top, etc)
- Experience with ROS
- Proficient in scripting languages, such as Python & Bash
- Experience with project management tools, such as JIRA
- Methodical documentation and report writing for both internal and external communication
- Ability to work in a fast-paced and dynamic robotics environment
- Detail-oriented with strong organizational skills
Desirable
- Professional experience in developing software in C++
- Experience working with cloud platforms, such as AWS, Google Cloud Platform or Microsoft Azure
- Experience with basic lab equipment, such as multimeters and oscilloscopes debugging electrical systems
What the job involves
- As a Software Support Engineer at Teleo, you will be responsible for supporting the global expansion and maintenance of Teleo’s autonomous heavy machinery fleet
- Your role will involve supporting both internal and external teams in deploying Teleo’s technology across a growing range of heavy machinery
- You will work closely with various engineering teams to ensure the successful bringup and operation of autonomous heavy machinery
- Remotely support for the introduction of new vehicles to Teleo’s expanding autonomous heavy machinery fleet
- Work with teams both internal and external to Teleo to support customer deployments
- Report issues seen in the field to Teleo’s engineering teams, and maintain logs of commonly seen issues
- Collaborate with Engineering to address issues and continuously improve the overall stability/uptime of Teleo’s fleet
- Conduct testing and debugging to ensure reliability and performance of deployed SW solutions
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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