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.
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Bringing Spatial Intelligence to Live Media, starting in Sports. Join us at peripheral.so
Full company description
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.
People associated on LinkedIn
10
Other recorded names
Peripheral
Peripheral Labs
Profile identifies a recruitment agency
No
Industry
Software Development
Size
2-10 employees
Organization type
Public Company
Peripheral has 11 open jobs in Canada as of November 6, 2026. Top locations: Toronto.
Candidates need current enrollment in a Master's or PhD program in computer science or a related field, with peer-reviewed publications in 3D reconstruction or diffusion models. Strong Python and deep learning skills, clear communication, and legal right to work in Canada are required.
5+ YOECandidates need a degree in computer science, electrical engineering, robotics or a related field, plus 5+ years building 3D capture systems at scale. They must have led multidisciplinary engineering teams and understand calibration, sensor fusion and state estimation.
Candidates need a Master's or PhD in a related field and a proven record leading 3D reconstruction or neural rendering research into production. Strong expertise in multi-view geometry, NeRFs, Gaussian Splatting, distributed GPU training and team leadership is required.
PyTorch, CUDA, NVIDIA Isaac Sim, NVIDIA Omniverse, NVDEC/NVENC
Candidates need a Master's or PhD in a related field and top-tier publications in 3D reconstruction or neural rendering. They also need strong Python and deep learning skills and must have the legal right to work in Canada and relocate to Toronto.
4+ YOEPeripheral needs candidates with 4+ years of production cloud experience, ideally with ML workloads, and deep AWS or GCP skills. They should have experience with distributed training, GPU/TPU clusters, production ML inference, and infrastructure-as-code tools such as Terraform, Kubernetes, and Docker.
Candidates need to be enrolled in a Bachelor's or Master's program in computer science, robotics, computer vision or a related field. They need Python and PyTorch skills, foundational ML and 3D vision knowledge, and the legal right to work in Canada.
Candidates need to be pursuing a Bachelor's or Master's in computer science, electrical engineering, robotics, or a related field. They need strong 3D computer vision fundamentals, Python, a deep learning framework, and attention to detail with data.
Candidates need to be enrolled in a Bachelor's or Master's program in computer science, computer engineering, or a related field. They need some cloud platform exposure (AWS or GCP), Python skills, a basic grasp of ML workflows, and the legal right to work in Canada for the internship.
Candidates need to be pursuing a Bachelor's or Master's in Mechanical Engineering or a related field, with SolidWorks experience and hands-on prototyping skills. Candidates must have the legal right to work in Canada and be based in or willing to relocate to Toronto.
Candidates need to be pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics or a related field. They need some C++ or Python experience, a foundational understanding of how computers interact with hardware, and comfort working hands-on with hardware or eagerness to learn.
3+ YOECandidates need a Bachelor's or Master's degree in a related field, 3+ years of embedded software experience, expert C++ and Python skills, Linux experience, and knowledge of PTP/NTP time synchronization. Custom PCB experience and legal right to work in Canada are also required.