Senior Robotics Engineer - Motion Capture
Peripheral Labs
Who we are:
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate interactive, photorealistic 3D reconstructions of sporting events, building the future of live media. 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 top robotics and machine learning researchers from the University of Toronto, advised by Dr. Steven Waslander and Dr. Igor Gilitshenski.
Our team is ambitious and looking to win. We’re seeking a senior robotics engineer for our motion capture team to architect, lead, and help build the next generation of biomechanics-grade motion tracking at arena scales.
What you’ll be doing:
Architecture and development of real-time, biomechanics-grade, markerless motion capture algorithms,
Leading and providing technical mentorship for team members, establishing best practices
What we need to see at a minimum:
Master's or PhD in Computer Science, Electrical Engineering, Robotics, or related field, OR
5+ years of experience building production-level data processing pipelines,
Strong understanding of computer vision fundamentals (camera calibration, multi-view geometry, etc)
Previous industry experience, training, and deploying ML models for computer vision (object detection, segmentation, tracking, etc),
Expert-level proficiency in C++ and Python for high-performance systems development,
Ways to stand out from the crowd:
Hands-on experience with human pose estimation algorithms and markerless motion capture systems,
Track record of creating and maintaining CI/CD pipelines for machine learning or computer vision applications,
Experience with real-time frameworks for computer vision systems, such as NVIDIA DeepStream, Holoscan, or similar platforms,
Proficiency in CUDA programming and PyTorch for deep learning model optimization and deployment,
Knowledge of biomechanics, kinematic modeling, and body modeling techniques (SMPL, skeletal models, etc.),
Contributions to open-source computer vision projects or frameworks,
Top publications at conferences like NeurIPS, ICLR, ICML, CVPR, WACV, CoRL, ICRA,
Why join us:
Competitive equity as an early team member.
$150K-300K CAD + bonuses, flexible based on experience.
Exclusive access to the world’s biggest sporting events and venues,
Ownership of impactful projects, developing the future of 3D media and spatial intelligence.