ML Ops Co-op for Autonomous Robotics Platform

Symbotic; Wilmington (MA); On-site; USD 44,000 - 58,000; Part time

Benefits offered by this job

Housing benefits

Relocation assistance

Job summary

Symbotic in Wilmington, MA is seeking motivated interns and co-ops for Spring 2027. You will architect and scale software for autonomous capabilities, collaborate with ML R&D, and optimize deployment pipelines for robotics systems.

The program includes mentorship, events, and relocation/housing support for eligible students. Ideal candidates have a CS/CE/Robotics background, experience with cloud platforms (GCP/Azure), and proficiency in Python or C++.

Qualifications

• Bachelor's degree in computer science, software engineering, robotics, or related field.
• Experience with cloud-based infrastructure (GCP or Azure).
• Experience working with data systems including telemetry and sensor data.
• Proficiency in Python or C++ and ability to deliver high-quality code quickly.

Responsibilities

• Architect and scale our software platform to support autonomous capabilities.
• Collaborate with ML R&D to ensure models meet deployment requirements.
• Optimize the robotics deployment pipeline from code merge to rollout for ONNX/TensorRT systems.
• Maintain edge computing infrastructure for real-time performance and reliability.
• Create pipelines to train robotic ML systems including data curation, labeling, training, and evaluation metrics.
• Increase evaluation speed using hardware and physics-based simulations.
• Reduce maintenance through data-driven diagnostics for scale-up.
• Engineer advanced robotic software to boost ML performance.
• Design efficient compilation architectures to reduce hardware dependencies.
• Configure docker Compose to balance robotic hardware sharing.

Skills

Python

C++

Cloud platforms

Data systems

Robotics software

Education

Bachelor's degree in CS/Software Engineering/Robotics

Job description

Symbotic in Wilmington, MA is seeking motivated interns and co-ops for Spring 2027. You will architect and scale software for autonomous capabilities, collaborate with ML R&D, and optimize deployment pipelines for robotics systems.

The program includes mentorship, events, and relocation/housing support for eligible students. Ideal candidates have a CS/CE/Robotics background, experience with cloud platforms (GCP/Azure), and proficiency in Python or C++.