Robotics Perception Engineer: Real-World Autonomy

Slip Robotics

Atlanta (GA)

Hybrid

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Competitive salary and equity
Comprehensive health benefits
Permissive time off policy

Job summary

A cutting-edge robotics firm in Atlanta is looking for a Robotics Perception Engineer to lead the development of sensing and perception systems for autonomous mobile robots. The ideal candidate has over 5 years of experience in building navigation and perception systems, with a strong proficiency in C++ and Python. Responsibilities include designing object detection systems and integrating various sensor modalities. You will work closely with a small team, making direct impacts on real-world products.

Qualifications

  • 5+ years of professional experience building perception systems for robots.
  • Track record of deploying perception software to real robots.
  • Experience with sensor calibration and multi-sensor integration.

Responsibilities

  • Design and maintain perception pipeline for autonomous robots.
  • Integrate and calibrate sensors on production platforms.
  • Debug perception failures on deployed robots effectively.

Skills

Strong proficiency in C++
Strong proficiency in Python
Deep experience with LiDAR processing
Hands-on experience with camera-based perception
Strong debugging skills
Excellent communication skills

Education

Master’s degree or higher in Computer Science, Robotics, or related field

Tools

ROS or ROS 2
Machine Learning frameworks (PyTorch, TensorFlow)
AWS IoT or Greengrass

Job description

A cutting-edge robotics firm in Atlanta is looking for a Robotics Perception Engineer to lead the development of sensing and perception systems for autonomous mobile robots. The ideal candidate has over 5 years of experience in building navigation and perception systems, with a strong proficiency in C++ and Python. Responsibilities include designing object detection systems and integrating various sensor modalities. You will work closely with a small team, making direct impacts on real-world products.
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