WHO WE ARE: 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, 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. THE OPPORTUNITY: We’re seeking an embedded systems engineer to scale our sensor suite and innovate on how we capture data at Peripheral. You’ll work with our capture systems team and collaborate with mechanical and robotics engineers to build the best sensor setup possible to capture the data that powers our spatially intelligent models. From a software perspective, you’ll be architecting and developing our sensor drivers and network infrastructure,



focusing on system robustness and performance. At Peripheral, you'll tackle challenges like precise time synchronization, end-to-end latency reduction, high-speed networking, and video stream encoding/decoding. From a hardware perspective, you'll be researching and evaluating new sensor setups and capture modalities, and designing PCBs for custom power delivery, communication, and camera gimbal solutions. WHAT WE’RE LOOKING FOR: You thrive in a high agency setting, owning your own outcomes with a bias to action. You’ve got a keen eye for detail, thinking ahead about potential failure cases, and planning the infrastructure and tooling to prevent them. You’ve designed mechatronics systems before - owning the design and bring-up from component selection to production-grade sensor and actuator programming. You specialize in data capture and can debate the tradeoffs between different robotic sensors. WHAT YOU’LL BE DOING: Architect and develop sensor drivers and network infrastructure, including onboarding new sensors, selecting new compute architectures, and optimizing the data

📌 Embedded Systems Engineer - Capture Systems (Toronto)
🏢 Jaide Health
📍 Toronto