Robot Systems Engineer, Robust.AI
$150-190k
+ Stock options
Office located in San Carlos, CA
Industrial-grade cognitive engine for robotics
Be an early applicant
Industrial-grade cognitive engine for robotics
21-100 employees
Be an early applicant
$150-190k
+ Stock options
Office located in San Carlos, CA
21-100 employees
Company mission
To make robots work for people.
Role
Who you are
- You are curious, deeply knowledgeable, well-organized, and thorough — and you thrive in the fast-moving environment of an early-stage startup where pivoting quickly is part of the job
- Depth of knowledge on embedded Linux systems
- Familiarity with Linux for Tegra (L4T)
- A desire and ability to keep the knowledge current
- Coverage of Ubuntu, Jetson-based hardware, encrypted drive volumes
What the job involves
- As a Robot Systems Engineer at Robust AI you will join a small fast-paced team working to design and deploy the next generation of warehouse robotic systems
- In this role you will collaborate closely with our engineering team to lead the optimization of Linux-based software platforms that interface directly with robotic hardware, ensuring reliable real-time control, communication, and system performance
- Our robots are deployed across diverse customer sites and operate across a range of software and hardware configurations, with distribution models that span onboard, on-premises, and cloud-based environments
- You will also play an important role in ensuring the security and integrity of sensitive data both on and off-robot
- You'll design, configure, and maintain custom Linux distributions (e.g., using Yocto or Buildroot)
- Develop and maintain Linux kernel configurations for robotic hardware
- Bring-up of new robot hardware platforms
- Conduct regular performance and regression testing to ensure robotic software operates within constraints
- Integrate robotics middleware such as Robot Operating System (ROS/ROS 2)
- Develop firmware update mechanisms (OTA updates)
- Implement secure boot and root filesystem protection
- Ensure system robustness against crashes and power loss
- Write technical documentation (architecture, APIs, bring-up guides)
Our take
Increasing complexity in supply chains and demand has meant manufacturing and logistics are incorporating more robotics and automation. These systems, however, can be cumbersome, costly, and brittle, meaning it’s difficult for them to adapt to new demand. Robust’s solution is a platform enabling rapid, no-code setup of robotic transport systems in warehouses to help transport materials and tools.
The idea is that these robots work with, not instead of, human workforces - and it’s just the first slate of applications for Robust’s deeper tech. The aim is to develop an all-purpose cognitive engine that will produce robots that can make decisions in open-ended environments.
The potential applications for a common-sense cognitive platform are sweeping, even if Robust’s beginnings are fairly modest. It’s planning to build out its own datasets and pursue strategic alliances with companies across different verticals - it’s already in conversation with iRobot for application of its AI layer in homes, for example.
With the heavy-hitting founding team of robotics veterans at the helm, Robust is making painstaking and careful progress in what is growing to be a multi-billion-dollar global robotics industry. With impressive funding under its belt, it'll be interesting to see how its tech progresses.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Apr 2023
$20m
SERIES A
Oct 2020
$15m
SERIES A
Total funding: $42.5m
Company HQ
San Carlos, CA
Leadership
Anthony Jules
(Co-Founder & CEO)Worked as Principal at robotics company Jules Studios, before serving as COO and VP of Product at Redwood Robotics, and then Head of Product & Program Management at X, the moonshot factory. Ultimately spent time as CTO/Advisor for Formant.
Rodney Brooks
(Co-Founder & CTO)Previously co-founded Lucid, iRobot (sold to Uber), and Rethink Robotics, and for the latter two also served as CTO. Additionally spent nearly three decades as the Panasonic Professor of Robotics at MIT.
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