Research Engineer - Applied Research & Technology
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 29, 2026. Acuity scores A on the Alion truth index.
QSC is creating exceptional, people-centric experiences with the perfect balance of technology and creativity. Q-SYS, our innovative full stack audio, video and control platform, unifies data, devices and a cloud-first architecture, empowering organizations to deliver transformative AV experiences across built spaces. Building on the QSC legacy, QSC Audio delivers audio technology that empowers live entertainers and sound reinforcement professionals with the confidence to create and deliver memorable experiences for their audiences.
Atrius, Distech Controls and QSC are part of the Acuity Intelligent Spaces (AIS) business segment. Our mission is to make spaces smarter, safer and greener through our strategy of connecting the edge with the cloud using disruptive technologies that leverage data interoperability.
Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.
We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.
Work location: This position requires on-site presence in Boulder, CO, following a hybrid work model.
Job Summary
As a Research Engineer in the Applied Research & Technology team at Acuity Intelligent Spaces, you will sit at the intersection of applied machine learning research, software engineering, and spatial intelligent environments. You will architect, prototype, and deploy intelligent software components that transform buildings and room environments into responsive, context-aware spaces.
In this role, you will work on productionizing machine learning and computer vision models while integrating with AV control infrastructure (such as QSC/Q-SYS ecosystems), Distech Controls, and Atrius IoT platforms to drive next-generation building intelligence and smart room automation.
Key Tasks & Responsibilities (Essential Functions)
- Applied Machine Learning & Engineering: Design, build, test, and deploy efficient machine learning pipelines and models tailored for real-time inference in edge and cloud-connected spatial environments.
- Computer Vision Integration: Implement vision-based applications (e.g., occupancy analytics, spatial perception, multi-modal signal processing) to enhance physical space context and automated room control.
- AV & Systems Integration: Develop software integrations connecting AI/ML pipelines with audio-visual ecosystems (QSC / Q-SYS control, audio signal flow, and smart room AV infrastructure).
- Software Architecture & Development: Write clean, maintainable, modular production-grade code (Python, C/C++, Go, or TypeScript) for edge devices, middleware microservices, and API integrations.
- Prototyping to Production: Build end-to-end functional prototypes and proof-of-concepts, validating spatial intelligence algorithms before transitioning them into scaleable platform services.
- Cross-Functional Collaboration: Partner closely with hardware, firmware, software platform, and product management teams to translate research concepts into commercial solutions.
Skills and Minimum Experience Required
- Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field (or equivalent practical experience).
- Software Engineering: 3+ years of experience in software development with strong expertise in Python and solid object-oriented design principles.
- Machine Learning Engineering: Experience developing, fine-tuning, and deploying ML models using frameworks like PyTorch, TensorFlow, ONNX, or TensorRT for edge or real-time applications.
- Computer Vision Knowledge: Practical understanding of basic computer vision fundamentals, image processing, object detection, or spatial sensing architectures (e.g., OpenCV, spatial tracking).
- AV & Control Infrastructure: Familiarity with AV/C technologies, particularly QSC / Q-SYS core architectures, Lua scripting, or control API integrations.
- API Development & Networking: Experience with REST APIs, gRPC, MQTT, WebSockets, and network communication protocols used in AV and IoT devices.
Preferred Skills and Experience
- Experience with multi-modal AI models, speech processing, or audio analytics.
- Familiarity with Docker, Kubernetes, edge deployment frameworks, or microservices architecture.
- Experience integrating with smart building protocols (BACnet, Modbus) or commercial IoT frameworks (Atrius, Distech Controls).
- Exposure to sensor fusion, real-time spatial analytics, or speaker-tracking visual integrations.
QSC. is owned by Acuity Inc., which is located in the United States. These companies share a global recruitment system on which the data you provide will be stored, and which will be subject to the laws of the United States of America.
The range for this position is $93,000.00 to $167,400.00 USD. Placement within this range may vary, depending on the applicant’s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on role. For a list of our benefits, click here.
We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.
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Accommodation in the Application Process: Acuity Inc. is an equal opportunity employer. It complies with the Americans with Disabilities Act (ADA) and other applicable laws requiring reasonable accommodation of persons with disabilities in employment. This includes the provision of reasonable accommodation in the application process. If you believe you need reasonable accommodation to assist with our online application system or any aspect of the application process, please contact Human Resources at (770) 922-9000, and select option 4. Please be prepared to identify the requisition / position applied for and the aspect of the application process for which you believe accommodation is needed. The company will engage in an interactive process with you to better understand the request and to determine whether reasonable accommodation is needed and available.
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