3D motion capture hardware and software for virtual production, robotics, and biomechanics
OptiTrack manufactures precision motion capture cameras and tracking software, now scaling MLOps infrastructure and automated validation pipelines to support real-time systems at sub-millimeter accuracy. The hiring velocity is accelerating around engineering and manufacturing, with active work on ML training pipelines, distributed experimentation, and CI/CD workflows — indicating a push to automate internal data quality and GPU utilization while maintaining the sub-millisecond latency their customers (roboticists, animation studios, defense simulation teams) depend on.
OptiTrack designs and manufactures 3D motion capture systems and tracking software used in virtual production, robotics, biomechanics research, animation, and defense simulation. The company operates on-site hardware design and manufacturing in Corvallis, Oregon, serving researchers, enterprises, and creators who require sub-millimeter precision and real-time performance. Beyond motion capture hardware, OptiTrack offers custom engineering services, OEM solutions for industrial automation, and consumer products including TrackIR for flight simulation and the GEARS golf performance system. The tech stack spans Python, C++, PyTorch, TensorFlow, Unreal Engine, and cloud infrastructure (AWS, GCP, Azure), with emphasis on MLOps tooling (MLflow, Weights & Biases, Airflow, Argo CD) and CI/CD automation (GitLab, Jenkins, Docker).
Python, C++, PyTorch, TensorFlow, Unreal Engine, Unity, CryEngine; cloud platforms AWS, GCP, Azure; MLOps tools including MLflow, Weights & Biases, Airflow, Argo CD, Kubeflow; CI/CD via GitLab, Jenkins, Docker; IaC with Terraform, Pulumi, CloudFormation.
Corvallis, Oregon. OptiTrack operates on-site design and manufacturing in Oregon, founded in 1996 and privately held with 51–200 employees.
Other companies in the same industry, closest in size
OptiTrack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.