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Embedded Ai Engineer Jobs in Wisconsin (NOW HIRING)

Software Engineering Manager

Windsor, WI · Hybrid

$135K - $160K/yr

... embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web ... Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue ...

Software Engineering Manager

Windsor, WI · Hybrid

$135K - $160K/yr

... embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web ... Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue ...

Software Engineering Manager

Windsor, WI · On-site +1

$135K - $160K/yr

... embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web ... Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue ...

WI · On-site

$110 - $160/hr

An early-stage team deploying AI vision systems directly on manufacturing lines. You are the ... Interest or background in working with embedded systems or edge computing hardware * Ability to ...

WI · On-site

$110 - $180/hr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine ... Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or ...

Sr Mechatronics Engineer

Wauwatosa, WI · On-site

$109K - $159K/yr

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

Sr Mechatronics Engineer

Wauwatosa, WI · On-site

$109K - $159K/yr

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

WI · On-site

$90 - $130/hr

... engineers, strategists and AI specialists who care about the work as much as the people they work ... You should be open to prolonged embedded assignments at enterprise and government clients, leading ...

AgenticOps Engineer

WI · On-site +1

... AI agent output across the organization. They are not embedded in any single team's daily sprint ... When a Product Engineer hits a wall with agent output quality-whether it's a spec the agent can't ...

The Agentic Ops Engineer operates as a cross-team specialist responsible for the health, reliability, and continuous improvement of AI agent output across the organization. They are not embedded in ...

Showing results 41-60

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 Aug 11, 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?

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 are popular job titles related to Embedded Ai Engineer jobs in Wisconsin? For Embedded Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $154,818 per year, or $74.4 per hour.

Software Engineering Manager

Genus PLC

Windsor, WI • Hybrid

$135K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Role Overview

Genus PLC has an exciting opportunity. We are looking for a Software Engineering Manager to lead a multi-domain software team building embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web platforms for cutting-edge agricultural equipment. As part of the Biosystems Engineering R&D organization, you will drive technical vision, team growth, and delivery excellence across a full-stack, AI-infused product portfolio.

The successful candidate is a forward-thinking, strategic leader who thrives at the intersection of real-time systems and modern application development. They rigorously evaluate possibilities, make pragmatic tradeoffs, and maintain a big-picture perspective while driving innovation. This individual brings strong people leadership, takes ownership, and is a clear, influential communicator who builds effective relationships and partnerships across a dynamic, cross-functional, multidisciplinary organization. Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue opportunities to advance innovation within the R&D pipeline.

This is a hybrid role in the Windsor, WI area with a minimum requirement of three (3) days a week on-site. 

The salary range for this position is $135,000 - $160,000 USD. The salary provided is a good faith estimate representative of all experience levels. Genus considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. 

You Will
  • Represent Software Engineering in cross-functional R&D core teams delivering complete instrument and automation products.
  • Lead a software organization spanning embedded firmware, HMI/SCADA, instrument control applications, and mobile/web platforms.
  • Define and own the technical roadmap - architecture, platform strategy, AI integration, and shared services across domains.
  • Partner with senior engineers and product management to translate customer, business, and regulatory requirements into actionable software backlogs and delivery plans.
  • Drive Agile/Scrum execution across multiple workstreams, maintaining clear visibility into status, quality metrics, risks, and deployment readiness.
  • Provide hands-on technical mentorship: performance management, coaching, career development, code review culture, and continuous feedback.
  • Champion an AI-augmented engineering practice - leveraging LLM-assisted development, AI-powered testing, automated code review, and data-driven optimization where appropriate.
  • Own the controlled software deployment lifecycle from lab to production floor, including versioned firmware release, over-the-air updates, and rollback strategies.
  • Build and evolve CI/CD pipelines promoting automation, quality gates, containerized builds, and release-driven deployment across embedded and application stacks.
  • Lead adoption of strategic technologies, modern architectures, and best practices to keep the organization competitive.
  • Ensure compliance with technical standards, regulatory requirements (FDA, IEC 62304, ISO, GDPR/data privacy), security, and safety protocols.
  • Uphold Genus core values, mission, and vision.
Requirements

Basic Qualifications: (required)

  • A University  degree in Computer Science, Electrical Engineering, or a STEM discipline
    • A minimum of 10 years of professional software development experience:
    • A minimum of 3 years leading, managing, and growing teams of software engineers
  • Hands-on experience in at least two of these domains:
    • Embedded systems / firmware / RTOS (C, C++, Rust)
    • HMI / SCADA / industrial automation / PLC integration
    • Web and/or mobile application development (React, Angular, Flutter, etc.)
    • Cloud-connected / IoT instrument applications
    • Instrument control, agricultural technology, or biomedical device industry
  • Agile/Scrum methodology with experience defining "Definition of Done" and delivery ceremonies
  • Proficiency in at least two languages including C/C++ and a modern language (TypeScript/Python/Go/Java)
  • Authorized to work in the U.S. without sponsorship

Preferred Qualifications:

  • Master's degree in a relevant field
  • Experience integrating AI/ML capabilities into products or engineering workflows (LLM tooling, vision systems, predictive analytics, edge AI)
  • Web framework experience: React, Angular, Vue, or equivalent
  • Mobile framework experience: Flutter, React Native, Swift, Kotlin
  • SCADA/industrial protocol experience: Modbus, OPC UA, BACnet, MQTT
  • Real-time operating systems: FreeRTOS, Zephyr, Linux kernel development
  • OT/IT security practices for embedded and connected devices (IEC 62443)
  • CI/CD platforms: GitHub Actions, GitLab CI, Azure DevOps, Jenkins
  • Infrastructure as Code and cloud platforms (AWS, Azure, GCP)
  • Experience with Jira, Confluence, and GIT
  • Track record of building and scaling DevOps/Platform Engineering practices
  • Experience on multi-disciplinary product teams spanning hardware, mechanical, data science, and software
Business Overview

Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange.  Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing.  We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future. 

Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world.

 

ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products.  Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941.  We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network.  We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. 

IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner.

Benefits Overview

US - At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will provide opportunities for growth.  

Equal Employment Opportunities

Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations.

Recruitment Fraud Warning

Genus plc will never ask you to provide fees or payment for computers, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at recruiting@genusplc.com.

Employment Type: FULL_TIME