Co-op- Machine Learning Ops

Job Description

Timeframe: Spring (Jan-May 2027)

At Symbotic, Early Career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, students have the opportunity to contribute to real projects, collaborate with experienced engineers and business leaders, and gain hands-on exposure to the technologies powering our end-to-end robotics and automation solutions. We are looking for curious, motivated students who are excited to solve complex problems, bring new perspectives to cross-functional teams, and see their work make an impact in a fast-moving, innovative environment.

Along the way, Interns and Co-ops are supported through mentorship, professional development, networking opportunities, and a robust calendar of events designed to help them build community and grow their careers. Symbotic offers transportation and housing benefits for students who meet our relocation requirements.

Continue reading below to learn more about this exciting opportunity!

What you’ll do 

• Architect and scale our software platform to support current and future autonomous capabilities. 

• Collaborate with ML R&D teams to ensure new models meet deployment requirements. 

• Optimize the robotic hardware fleet deployment pipeline, streamlining processes from merge requests through testing to roll-out for systems using ONNX/TensorRT and custom hardware. 

• Maintain and improve edge computing infrastructure to meet real-time performance and reliability needs. 

• Create pipelines to train robotic machine learning systems including dataset curation, labeling, training, and evaluation metrics. 

• Double speed and efficiency of robotic system evaluation using simulation of hardware and mechanics 

• Reduce mechanical hardware maintenance during robotic scale-up using data-driven diagnostics and alert systems. 

• Engineer state-of-the-art robotic software to increase performance of machine learning.  

• Design efficient compilation architectures to decouple hardware program inter-dependencies. 

• Structure docker compose configuration to balance robotic hardware sharing. 

What you’ll need 

• Bachelor’s degree or above in computer science, software engineering, robotics engineering or related field 

• Demonstrated experience with cloud-based infrastructure and services, including Google Cloud Platform (GCP) or Microsoft Azure

• Experience working with complex data systems, including data storage, telemetry data, and camera or sensor data

• Strong software engineering skills with expertise in at least one programming language and its ecosystem. You should be comfortable delivering high-quality, working code quickly and consistently. 

• Proficiency in Python or C++. 

Our Environment

• Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.

• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.