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Embedded Ai Engineer Jobs in Wisconsin (NOW HIRING)

You will influence how software is built, ensuring that AI augmentation, agentic workflows, and autonomous systems are embedded into our engineering DNA. This role involves architecting and scaling ...

... AI/ML engineering, data engineering, or software engineering - In lieu of a Bachelor's Degree ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

AI Automation Engineer -Remote

Milwaukee, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Kenosha, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Racine, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Menomonie, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Madison, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Whitewater, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

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Showing results 1-20

Embedded Ai Engineer information

See Wisconsin salary details

$70.7K

$154.8K

$175.6K

How much do embedded ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for embedded ai engineer in Wisconsin is $154,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $174,600.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What job categories do people searching Embedded Ai Engineer jobs in Wisconsin look for? The top searched job categories for Embedded Ai Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Embedded Ai Engineer jobs? Cities in Wisconsin with the most Embedded Ai Engineer job openings:
Infographic showing various Embedded Ai Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $154,818 per year, or $74.4 per hour.
Engineer II, Embedded Systems Design & Integration

Engineer II, Embedded Systems Design & Integration

Thermo Fisher Scientific

Madison, WI

Full-time

Posted 25 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 397 frontline employees who took The Breakroom Quiz

186th of 516 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

LOCATION: This is a fully onsite position based at our Madison, WI site. Unfortunately, relocation assistance is NOT provided.  

  • Must be legally authorized to work in the United States without sponsorship now or in the future. 
  • Must be able to pass a comprehensive background check, which includes a drug screen. 
     

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. 

Description 

We are seeking a motivated Firmware Engineer to join our engineering team. This role focuses on the development, testing, and maintenance of embedded software for cutting-edge analytical instrumentation in the spectroscopy field. The ideal candidate has a solid foundation in embedded systems, enjoys working close to hardware, and is eager to grow technical depth while solving real-world problems. 

Key Responsibilities 

  • Perform all phases of embedded software development, including design, implementation, testing, integration, and maintenance for scientific instruments 
  • Develop reliable firmware in C for ARM microprocessors and TI DSPs used in FTIR, Raman, and microscopy instruments 
  • Design and implement programmable logic using VHDL for FPGAs and CPLDs 
  • Develop manufacturing and support utilities using C#/.NET 
  • Ensure timely delivery of high-quality products by working closely with project teams, SQA, and cross-functional engineering groups 
  • Participate in design and architecture reviews 
  • Develop and maintain technical documentation, including specifications, test plans, and user documentation 

Requirements 

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. MS preferred.
  • 2–4 years of hands-on experience in embedded software or firmware development. 
  • Strong programming skills in C; experience with C++ is a plus. 
  • Experience developing embedded software across the full lifecycle, including design, implementation, testing, integration, and maintenance. 
  • Proficiency working with microcontrollers and embedded systems, including ARM-based processors and/or DSPs. 
  • Strong understanding of low-level embedded concepts (e.g., interrupts, DMA, memory management) and ability to interpret hardware schematics. 
  • Experience developing firmware for scientific or instrumentation-based systems is preferred. 
  • Familiarity with real-time operating systems (RTOS) and/or bare-metal embedded systems. 
  • Experience with programmable logic design (e.g., VHDL for FPGAs or CPLDs); experience debugging FPGA-based implementations is a plus. 
  • Knowledge of common communication interfaces such as SPI, I2C, UART, Ethernet, and USB. 
  • Experience with debugging tools such as JTAG debuggers, oscilloscopes, logic analyzers, and protocol analyzers. 
  • Familiarity with version control systems (e.g., Git) and modern development workflows (e.g., CI/CD). 
  • Exposure to embedded Linux or higher-level system integration is a plus. 
  • Experience developing utilities or applications using C#/.NET is a plus. 
  • Understanding of low-level system components such as bootloaders, device drivers, and power management is desirable. 
  • Ability to contribute to embedded software architecture and communication protocol design. 
  • Experience with data acquisition, signal processing, or motor control systems is a plus. 
  • Exposure to AI/ML tools used to support embedded systems development (e.g., code generation, debugging, test automation, or data analysis). 
  • Awareness of how AI/ML techniques may be applied to instrument data processing, signal analysis, or system optimization. 
  • Demonstrated ability to collaborate effectively with cross-functional teams, including hardware, systems, and quality engineering. 
  • Strong problem-solving skills, attention to detail, and ability to debug complex system-level issues. 
  • Experience working in regulated development environments (e.g., medical devices, automotive, aerospace) is a plus. 
  • Effective written and verbal communication skills, including the ability to contribute to technical documentation and design reviews. 
  • Ability to manage individual tasks with moderate guidance while contributing to team deliverables. 
  • Willingness to learn new technologies and take on evolving technical challenges. 

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