Principal Embedded Edge AI Engineer
Johnson Controls
Job Description
Build your best future with the Johnson Controls team!
Who we are:
Johnson Controls is global leader in smart, healthy, and sustainable buildings. Our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away!
What We Offer:
Competitive salary
Paid vacation/holidays/sick time
Comprehensive benefits package including 401K, medical, dental, and vision care.
On-the-job/cross-training opportunities
Encouraging and collaborative team environment
Dedication to safety through our Zero Harm policy
What you will do:
Join our Data Center Cooling Optimization team as a Principal Embedded Edge AI Engineer, where you will design and deploy advanced AI/ML models—including LLM/SLM‑style architectures—directly onto embedded and edge platforms that control mission‑critical cooling systems.
You will work at the intersection of data science, embedded software, and real‑time control, developing time‑series intelligence, anomaly detection, and predictive maintenance models that operate under strict latency, compute, and reliability constraints. This role requires deep technical expertise and the ability to guide system‑level decisions across software, controls, and hardware teams.
This position is 100% on‑site at our new Controls Product Development Center and Lab in Glendale, WI, where you’ll collaborate closely with cross‑disciplinary teams and work hands‑on with real products. The role may include up to 20% travel.
How you will do it:
Develop and deploy AI/ML on embedded and edge devices
Build time‑series models for load estimation, anomaly detection, and RUL/condition‑based maintenance
Implement TensorFlow or PyTorch models optimized for edge execution
Develop embedded inference pipelines in C/C++ (Rust a plus)
Collaborate with data scientists to translate research models into production‑ready embedded implementations
Work with IoT and controls teams to integrate ML outputs into real‑time control loops
Optimize models for latency, memory footprint, and power constraints
Apply FMEA, SFMEA, and PHM principles to ensure reliability and safety
Lead system‑level debugging, validation, and performance tuning
Mentor engineers and influence technical direction across the organization
What we look for:
Required Qualifications
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
4+ years of experience in embedded AI/ML, edge inference, or related fields
Strong background in time‑series ML and deep learning architectures
Proficiency with TensorFlow or PyTorch
Strong C/C++ skills for embedded or performance‑critical paths
Experience deploying ML models on edge devices or embedded systems
Familiarity with reliability engineering (FMEA, PHM)
Ability to work under minimal supervision and guide technical decisions
Excellent communication and cross‑functional collaboration skills
Preferred Qualifications
Experience with digital twins and reinforcement learning for control
Experience with LLM/SLM‑style architectures optimized for edge
Experience with IoT protocols and edge compute frameworks
Experience with data‑center systems, HVAC, or thermal management
Rust programming experience
Experience with model compression, quantization, or hardware acceleration
SALARY RANGE: $110,000- $164,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us