Research Engineer: AI for Smart Spaces & AV Systems

Acuity Inc.

Boulder (CO)

Híbrido

USD 93 000 - 167 000

Tempo integral

Há 3 dias
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Resumo da oferta

Acuity Inc. is seeking a Research Engineer in the Applied Research & Technology team to bridge machine learning research with software engineering for spatial intelligent environments.

You will productionize ML models and integrate with AV control infrastructures across QSC/Q-SYS ecosystems, Distech, and Atrius IoT platforms to drive next-gen building intelligence and smart room automation.

Qualificações

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
  • 3+ years of software development with strong Python and OO design.
  • ML model development/deployment experience using modern frameworks.
  • Practical understanding of CV fundamentals and spatial sensing concepts.
  • Familiarity with AV technologies, QSC/Q-SYS architectures, and control APIs.

Responsabilidades

  • Design, build, test, and deploy real-time ML pipelines for edge and cloud vision tasks.
  • Implement vision-based occupancy analytics and spatial perception applications.
  • Develop integrations connecting ML with AV control ecosystems (Q-SYS, audio, room tech).
  • Write production-grade code in Python/C/C++/Go/TypeScript for edge devices and services.
  • Prototype to production: validate spatial intelligence algorithms at scale.
  • Collaborate across hardware, firmware, software, and product teams.

Conhecimentos

Python
Machine Learning
Computer Vision
Q-SYS AV
APIs & Networking
Docker & Kubernetes
Edge Computing

Formação académica

Bachelor’s or Master’s in CS/EE/CE

Ferramentas

PyTorch
TensorFlow
OpenCV

Descrição da oferta de emprego

Acuity Inc. is seeking a Research Engineer in the Applied Research & Technology team to bridge machine learning research with software engineering for spatial intelligent environments.

You will productionize ML models and integrate with AV control infrastructures across QSC/Q-SYS ecosystems, Distech, and Atrius IoT platforms to drive next-gen building intelligence and smart room automation.

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