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Peripheral is seeking an Embedded Systems Engineering Intern to support our capture systems team in Toronto. You’ll gain hands-on experience with sensor drivers, hardware bring-up, and firmware debugging alongside seasoned engineers.
You’ll contribute to real-world challenges, learn how production-grade embedded systems are built and tested, and collaborate across hardware and software domains in a fast‑moving, sports‑tech environment.
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.
We’re backed by top investors, including Khosla Ventures, Inovia, Deloitte Ventures, Daybreak, and Entrepreneurs First, and working with some of the biggest names in sports. Our team includes engineers and researchers from leading technology companies and research institutions, and we’re building technology at the intersection of AI, graphics, and the future of live entertainment. We’re ambitious and looking to win.
We're seeking an Embedded Systems Engineering Intern to support Peripheral's capture systems team as we scale our sensor suite and improve how we capture data. You'll get hands‑on experience with sensor drivers, network infrastructure, and hardware design, working alongside engineers who own this system end to end.
You'll contribute to real problems, like onboarding new sensors, improving system performance, or supporting hardware bring‑up, under the guidance of engineers on the team.
You're currently pursuing a degree in Computer Science, Electrical Engineering, Robotics, or a related field, and you're excited about embedded systems, the place where hardware and software meet.
You have some experience with C++ or Python, and you're comfortable (or eager to get comfortable) working close to hardware, whether that's writing a driver, debugging over a serial connection, or reading a datasheet.
You're detail-oriented and think ahead about what could go wrong with a system, and you're excited to learn how production‑grade embedded systems are actually built and tested.