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Embedded Ai Jobs (NOW HIRING)

Senior Embedded Software Engineer

Boston, MA · On-site +1

$134.70K - $176.50K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$118.40K - $155.20K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

Java Full Stack AI Developer

Sunnyvale, CA · On-site

$61.50 - $79.50/hr

• Drive the adoption of embedded AI, moving beyond simple API calls to integrating local LLMs and vector databases into the application layer. Evangelize usage of AI tools to accelerate developer ...

Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$120.40K - $157.80K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

Design scalable infrastructure with strong foundations-schema, lineage, validation, and anomaly detection for embedded AI. * Integrate edge intelligence, observability, & feedback loops into robotics ...

Embedded Engineer

Columbia, MD · On-site

$129.40K - $170.30K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

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Embedded Ai information

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$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of May 30, 2026, the average yearly pay for embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are the key skills and qualifications needed to thrive in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.
What cities are hiring for Embedded Ai jobs? Cities with the most Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Embedded Ai jobs? States with the most job openings for Embedded Ai jobs include:
Infographic showing various Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Principal Embedded Edge AI Engineer

Principal Embedded Edge AI Engineer

Johnson Controls

Milwaukee, WI • On-site

$110K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 386 frontline employees who took The Breakroom Quiz

131st of 511 rated manufacturers


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/SLMstyle architectures-directly onto embedded and edge platforms that control missioncritical cooling systems.

You will work at the intersection of data science, embedded software, and realtime control, developing timeseries 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 systemlevel decisions across software, controls, and hardware teams.

This position is 100% onsite at our new Controls Product Development Center and Lab in Glendale, WI, where you'll collaborate closely with crossdisciplinary teams and work handson 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 timeseries models for load estimation, anomaly detection, and RUL/conditionbased 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 productionready embedded implementations

  • Work with IoT and controls teams to integrate ML outputs into realtime control loops

  • Optimize models for latency, memory footprint, and power constraints

  • Apply FMEA, SFMEA, and PHM principles to ensure reliability and safety

  • Lead systemlevel 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 timeseries ML and deep learning architectures

  • Proficiency with TensorFlow or PyTorch

  • Strong C/C++ skills for embedded or performancecritical 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 crossfunctional collaboration skills

Preferred Qualifications

  • Experience with digital twins and reinforcement learning for control

  • Experience with LLM/SLMstyle architectures optimized for edge

  • Experience with IoT protocols and edge compute frameworks

  • Experience with datacenter 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

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.


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About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US