Research Engineer - Applied Research & Technology

Acuity; Boulder (CO); On-site; USD 93,000 - 167,000; Full time

Benefits offered by this job

Health care

Dental

Vision

401K

Incentives

Job summary

Acuity Intelligent Spaces is seeking a Research Engineer to bridge 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.

You will productionize machine learning and computer vision models while integrating with AV control infrastructure (QSC/Q-SYS ecosystems), Distech Controls, and Atrius IoT

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent practical experience).
• Software Eng: 3+ years of software development with Python and OO design principles.
• ML Eng: Experience developing, fine-tuning, and deploying ML models using PyTorch, TensorFlow, ONNX, or TensorRT for edge/real-time apps.
• CV Knowledge: Understanding of CV fundamentals, image processing, object detection, spatial sensing (OpenCV).
• AV/Control: Familiarity with AV/C tech, QSC/Q-SYS core architectures, Lua scripting, or control API integrations.
• API/Networking: Experience with REST APIs, gRPC, MQTT, WebSockets, and protocols used in AV/IoT.

Responsibilities

• Design, build, test, and deploy ML pipelines and models for real-time edge/cloud inference.
• Implement vision-based apps for occupancy analytics and spatial perception.
• Develop software integrations with AV ecosystems (QSC/Q-SYS, audio flow, smart room AV).
• Write production-grade code (Python/C/C++, Go, or TypeScript) for edge devices and microservices.
• Prototype to production: validate spatial intelligence algorithms and scale to platform services.
• Collaborate across hardware, firmware, software, and product teams to translate research into solutions.

Skills

Python

OO design

Edge AI

PyTorch

TensorFlow

ONNX

TensorRT

OpenCV

Lua scripting

REST APIs

gRPC

MQTT

WebSockets

Education

Bachelor’s or Master’s degree in CS/EE/CE or related field

Tools

Docker

Kubernetes

Q-SYS

QSC

Lua scripting

OpenCV

Job description

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.

Please click here and here for more information.

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 [phone], 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.

Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search.

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