Spring Co-Op: Robot Perception & Localization

Lila Sciences, Inc.; Cambridge (MA); On-site; USD 28,000 - 41,000; Full time

Job summary

Lila Sciences, Inc. is seeking a Co-Op on the Production Robotics team in Cambridge, MA. You will help build algorithms and software to locate robots in space, recognize instruments, and run reliable scientific workflows inside AI Science Factories (AISFs).

You will work with robotics engineers, AI researchers, and software engineers, contributing to state estimation, perception, and testing infrastructure that support general-purpose robotic skills.

Qualifications

• In-progress Master's (preferred) or strong senior-year Bachelor's in Robotics, CS, EE, or related field with controls/estimation leaning.
• Proficiency in Python and/or C++, with coursework or project experience writing well-tested code.
• Familiarity with state estimation and sensor fusion (e.g., Kalman filtering).
• Strong foundation in linear algebra and probability.
• Comfort with Git and Linux development environments.
• Strong communication skills and ability to work across a multidisciplinary team.
• Available for the full spring co-op term.

Responsibilities

• Build camera-based ApriITag and instrument detection and localization for robot manipulation and navigation.
• Develop new robot capabilities in ROS 2 (Jazzy).
• Expand simulation-based tests and CI pipelines so changes are validated before deployment on hardware.
• Evaluate estimation and perception performance on real robot data and contribute fixes back to the codebase.
• Ship production code alongside robotics, software, and AI engineers.
• Document algorithms, test approaches, and integration patterns for the rest of the team.

Skills

Python

C++

Kalman filtering

Education

Master's degree in Robotics/CS (in-progress)

Tools

ROS 2 (Jazzy)

Gazebo

OpenCV

Job description

Lila Sciences, Inc. is seeking a Co-Op on the Production Robotics team in Cambridge, MA. You will help build algorithms and software to locate robots in space, recognize instruments, and run reliable scientific workflows inside AI Science Factories (AISFs).

You will work with robotics engineers, AI researchers, and software engineers, contributing to state estimation, perception, and testing infrastructure that support general-purpose robotic skills.