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Careers

Are you passionate about robotics and have strong hands-on experience? Please reach out if you’d like to be part of our small but growing team.

Photo shows our CTO testing the Retriever’s localization performance late at night in low-light and no-light conditions. The Retriever uses stereo vision to help track its position in highly unstructured settings and has to work in dramatically changing lighting conditions.

careers with Labrador

Photo shows our CTO testing the Retriever’s localization performance late at night in low-light and no-light conditions. The Retriever uses stereo vision to help track its position in highly unstructured settings and has to work in dramatically changing lighting conditions.

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Labrador does not use messaging apps to reach out to potential candidates, to conduct interviews or make job offers. We do not ask individuals to fill out employment applications or share personal information during the interview process.

Please be alert to the following Red Flags:

  • someone is contacting you about a position not listed on this page
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  • stating they are from Labrador, but contacting you from an email other than @labradorsystems.com

Please reach out to us at team@labradorsystems.com if you’d like to verify a job posting.

If someone has targeted you with a job scam, we encourage you to report them on the Federal Trade Commission’s website at: https://reportfraud.ftc.gov/#/form/main

If they reached out to you on an employment website or networking service, we also encourage you to report them to those providers.

Current Openings

We are seeking a talented SLAM Engineer to join our growing team. This is a mission critical senior role where you will be responsible for improving, testing, and troubleshooting all things SLAM at Labrador. Requires deep knowledge of Visual SLAM, and graph optimization. Candidates should have a track record of building, or improving, state of the art visual SLAM systems.

Skills

  • Visual SLAM
  • Graph Optimization
  • C/C++
  • Mobile robots
  • ROS

Must Have

  • Expert level knowledge of Visual SLAM
  • Expert level knowledge of graph optimization frameworks such as g2o, GTSAM, etc
  • Expert level programming in C/C++

Nice to Have

  • Experience working on a consumer, industrial, medical, etc product
  • Experience working on SLAM for mobile robots
  • Experience with ROS

Job Conditions

  • This is a permanent position
  • Either on site (Calabasas, CA), or remote
  • Flexible hours
  • Competitive salary and benefits

We treat our software as a set of modules that fit together to form the product experience. We avoid re-inventing the wheel, leverage proven platforms that scale and focus our energy on adding new value. We’re seeking experienced engineers who share this system-level mindset and want to build a product and are ready to work on any aspect of it. There are a variety of opportunities to contribute depending on your technical skills.

We are seeking a talented DevOps Engineer to join our growing team. This is a mission critical senior role where you will be responsible for design, implementation, and maintenance of all things DevOps at Labrador.

You will oversee the tools and process for building, testing, releasing, and distributing software to our fleet of Labrador Retriever mobile robots, web service, apps, and more. Requires deep knowledge of Linux and ROS and solid experience in application deployments at the Cloud, Edge and app level.

We are seeking a highly motivated individual to build, service and test our robots. Chances are if you are a fit for this roll, you enjoy doing your own projects at home and outside of work. Must be self-driven, have experience working with minimal documentation, but highly attentive to detail and have excellent communication skills.

This job is primarily mechanical but experience with basic electronic assemblies and troubleshooting is required. Will likely involve travel, including to our factory during engineering builds as well as pilot deployments in the field to support and validate what we make.

Apply Here

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