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Peripheral

Verified Job Source

bringing spatial intelligence to live media, starting in sports.

Software Development
11–50 people

About

Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media experiences. We’re solving key research challenges in 3D computer vision, creating the foundations for the next generation of robotic perception and embodied intelligence.

Open positions

Embedded Systems Engineering Intern - Capture Systems (Spring 2027)

On-site · Toronto

The intern will support the capture systems team by developing sensor drivers, investigating firmware issues, and assisting with hardware bring-up and validation. They will collaborate with cross-functional teams to improve system performance and integrate new sensors into the capture pipeline.

Mechanical Engineering Intern - Capture Systems (Spring 2027)

On-site · Toronto

You will design and build enclosures and protective structures for cameras, LiDARs, and other capture hardware using SolidWorks. You will also build and test physical prototypes while collaborating with embedded and robotics engineers to ensure system integration.

ML Engineering Intern - Infrastructure (Spring 2027)

On-site · Toronto

The intern will support the maintenance of cloud infrastructure for ML model training and assist in building MLOps workflows. They will also collaborate with engineering teams to deploy models and investigate infrastructure issues related to reliability and performance.

ML Engineering Intern - Motion Capture (Spring 2027)

On-site · Toronto

The intern will help deploy, maintain, and improve real-time markerless pose estimation models within cloud infrastructure. They will also curate training data and use evaluation tools to diagnose and resolve system performance gaps.

ML Engineering Intern - Reconstruction (Spring 2027)

On-site · Toronto

You will contribute to the development of models and systems that transform raw multi-sensor capture into 3D spatial data. This involves supporting experiments, implementing research techniques, and optimizing models for production environments.

ML Engineering Intern - Motion Capture (Fall 2026)

On-site · Toronto

The intern will deploy and maintain pose estimation models in cloud infrastructure while curating and improving training datasets. They will also work with evaluation tools to diagnose system failures and iterate on model performance.

Software Engineer - Viewer

On-site · Toronto

You will build and maintain the client-side viewing experience for 3D reconstructions across web, mobile, and native platforms. Additionally, you will optimize data streaming pipelines and own the UX and visual design of the viewing interface.

Operations Intern (Fall 2026)

On-site · Toronto

The Operations Intern will support founders and the Chief of Staff across diverse operational projects including finance, marketing, and office management. They will be responsible for executing high-impact tasks and building efficient systems to support the company's growth.

Senior ML Engineer - Reconstruction

On-site · Toronto

You will lead the research team in developing spatial intelligence foundation models and real-time 3D/4D reconstruction systems. You will collaborate with the CTO to set the research agenda while remaining hands-on with model architecture, training, and production deployment.

Embedded Systems Engineer - Capture Systems

On-site · Toronto

You will architect and develop sensor drivers and network infrastructure to optimize high-speed data capture for spatial intelligence models. Additionally, you will design custom PCBs and evaluate hardware components to integrate into the core capture suite.