Deep Learning & Perception Engineer

About Keybotic

Keybotic is a cutting-edge robotics startup that designs and manufactures Keyper, an autonomous robot dog for industrial inspections. With our 1st prize DARPA award-winning technology (US Government), Keyper inspects and maps without any human interaction.

Keybotic is a fast-growing tech company that is shaping the future of mobile robotics across multiple industries such as chemical, security, oil&gas, and energy, among others.

We’re seeking a talented and highly motivated Deep Learning & Perception Engineer to solve perception challenges to make Keyper work in real-world environments.

Do you want to make the world a risk-free place with our robots? Do you want to learn and work in the robotics world? Join Keybotic.


Your Role and Responsibilities:

  • Train and deploy custom machine learning models to improve robot perception using visual, laser, and acoustic sensors.
  • Training, optimization, and deployment of machine learning models on a large fleet of state-of-the-art quadruped robots.
  • Develop robot data collection, annotation, and analysis protocols to improve machine learning models and perception performance for robots in the field.

Your Profile:

  • MS or Ph.D. in robotics, computer science, or a related field or have equivalent industry experience
  • Experience in Software Architecture and C++, PyTorch, and Git is beneficial
  • Experience developing, using, and maintaining in-house perception software and systems

*Please note that we are only able to consider applications with working visa.


  • Career growth plan
  • Great working environment to learn and develop your career
  • Cool perks such as fresh fruit & specialty coffee
  • Flexible remuneration for kindergarten, transportation, and food