Co-Op: ROS 2 Robotics Perception & Localization

Linuxconfig

Cambridge (MA)

On-site

USD 25,000 - 39,000

Full time

2 days ago
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Job summary

Lila Sciences in Cambridge, MA, is seeking a Co-Op on the Production Robotics team to help build algorithms and software for robot state estimation, perception, and testing infrastructure. You will work on estimating position, localizing with AprilTags, and validating changes with CI before hardware deployment.

You will collaborate with robotics engineers, AI researchers, and software engineers to accelerate lab experiments and produce production-ready code for real robots.

Qualifications

  • Pursuing Master’s or senior-year BS in Robotics, CS, or EE.
  • Proficiency in Python and/or C++, with well-tested code experience.
  • Familiarity with state estimation and sensor fusion.
  • Strong foundation in linear algebra and probability.
  • Comfort with Git and Linux development environments.
  • Available for the full spring co-op term.

Responsibilities

  • Build camera-based AprilTag and instrument detection and localization.
  • Develop new robot capabilities in ROS 2 (Jazzy).
  • Expand simulation-based tests and CI pipelines for validation before deployment.
  • Evaluate estimation and perception performance on real robot data.
  • Ship production code alongside robotics, software, and AI engineers.
  • Document algorithms, test approaches, and integration patterns.

Skills

Python
C++
Robotics
Kalman filtering
State estimation
Git
Linux

Education

In-progress Master's in Robotics
Senior-year B.S. in CS/EE

Tools

OpenCV
ROS 2
Gazebo
CI

Job description

Lila Sciences in Cambridge, MA, is seeking a Co-Op on the Production Robotics team to help build algorithms and software for robot state estimation, perception, and testing infrastructure. You will work on estimating position, localizing with AprilTags, and validating changes with CI before hardware deployment.

You will collaborate with robotics engineers, AI researchers, and software engineers to accelerate lab experiments and produce production-ready code for real robots.

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