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Embedded Ai Engineer Jobs in Wisconsin (NOW HIRING)

You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key technical voice on how AI is designed, built, and ...

You will be embedded in a scrum team in Milwaukee, working hands-on with engineers, data scientists, and product managers. You will become a key technical voice on how AI is designed, built, and ...

Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

... AI architecture for our core product platform. You will embed directly within our engineering team ... Experience working in an "embedded team" model; comfortable facilitating design workshops and ...

Work in a fast-paced AI infused Agile/Scrum environment while researching, evaluating, and applying ... Experience with embedded Linux, Unix/Linux programming, operating system concepts, STLinux or ...

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 ...

WI · On-site

$130 - $190/hr

Position Overview We are looking for a high-agency, AI-native Software Engineer who loves building ... are embedded directly into mission-critical software used by utilities and broadband providers ...

We are seeking an experienced Senior FPGA Engineer to develop FPGA-based embedded systems for ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

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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 10, 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.

Senior Application Developer - Industrial Voice AI & Edge Applications

Cerence Operating Company

Montreal, WI

$107K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

A Moving Experience.

Frontline workers increasingly rely on intelligent, speech-enabled applications to access information, complete tasks, and interact with industrial systems. Cerence is bringing Voice AI and Embedded AI to tablets, industrial devices, HMIs, and operator interfaces across manufacturing environments.

Role Overview

The Senior Application Developer will build intelligent applications used directly by frontline workers and manufacturing operators. You will integrate Cerence SDK technologies, embedded Small Language Models (SLMs), speech interfaces, and enterprise workflows into tablets, rugged mobile devices, industrial HMIs, control panels, and other connected devices used across factory environments.

Your Impact

  • Build applications used directly on factory floors and industrial environments.
  • Integrate Cerence SDK and speech technologies into edge devices and operator workflows.
  • Enable voice-driven maintenance, troubleshooting, quality, safety, and productivity use cases.
  • Deliver embedded AI experiences using on-device SLMs and Edge AI technologies.
  • Create intuitive user experiences that improve frontline worker efficiency and operational visibility.

Key Responsibilities

  • Cross-Device Application Development: Build and maintain applications running on Android tablets, iOS devices, rugged handhelds, industrial HMIs, operator terminals, and other edge devices.
  • SDK & Middleware Integration: Integrate Cerence SDK technologies and develop middleware enabling STT, TTS, NLU, and voice-driven workflows.
  • Frontline Worker Applications: Build applications supporting maintenance, inspection reporting, troubleshooting, safety, quality, warehousing, and field service activities.
  • Frontline Process Applications: Develop interfaces for operator assistance, machine interactions, digital work instructions, and process monitoring.
  • Embedded AI & SLM Integration: Deploy and optimize embedded SLMs and AI capabilities for low-latency, offline-capable experiences.
  • Enterprise Connectivity: Connect applications with MES, ERP, PLM, Digital Twins, and industrial data services.

What You Bring

Mandatory (Must Have)

  • 5+ years of experience building production-grade embedded or edge applications for Android, iOS, tablets, ruggedized devices, industrial HMIs, or other connected devices used in operational environments.
  • Experience developing and deploying applications on Android, iOS, or equivalent embedded device platforms.
  • Experience integrating SDKs, middleware, APIs, and device-level capabilities.
  • Hands-on experience with Speech-to-Text, Text-to-Speech, Voice Assistants, or Conversational AI applications.
  • Experience deploying embedded AI, Small Language Models (SLMs), and on-device inference.
  • Strong proficiency in Kotlin, Java, C++, Swift, or similar technologies.
  • Experience building connected and offline-capable applications.

Good to Have (Highly Valued Plus)

  • Deep Android platform expertise including hardware integration, background services, device management, and performance optimization.
  • Industry 4.0 concepts including connected worker solutions, smart manufacturing, digital work instructions, digital twins, and predictive maintenance workflows.
  • Manufacturing, warehousing, logistics, maintenance, field service, or EHS applications.
  • OPC UA, MQTT, SCADA integrations, and industrial APIs.
  • LLMs, RAG, AI Copilots, Agentic AI systems, and multimodal AI.
  • Audio engineering including wake-word detection, Acoustic Echo Cancellation (AEC), beamforming, and microphone arrays.

Why Join the Team

  • Build the next generation of Voice AI experiences for frontline workers.
  • See your solutions deployed directly in manufacturing environments.
  • Work with Speech AI, Embedded AI, Edge AI, and Industry 4.0 technologies.
  • Operate with startup agility backed by Cerence's leadership in conversational AI.

Education & Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Embedded Systems, Electronics Engineering, Industrial Automation, or a related engineering discipline.
  • Equivalent practical experience developing edge and embedded applications will also be considered.

What we offer

We offer a generous compensation and benefits package (in addition to the base salary), including:

  • Salary range$107,900.00 USD - $172,600.00 USD It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.

  • Annual bonus opportunity

  • Insurance coverage (medical, dental, vision, life, and disability)

  • Paid time off

  • Paid holidays

  • Company contribution to the RRSP (Registered Retirement Savings Plan)

  • Equity awards for certain positions and levels

  • Remote and/or hybrid work available depending on the position

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.

About Cerence

Cerence is a global leader in conversational AI and voice technologies, bringing intelligent voice experiences to automotive, enterprise, and industrial markets. Our technology powers some of the world's most advanced human-machine interfaces and is now transforming industrial and manufacturing environments.

Cerence Inc. (Nasdaq: CRNC andwww.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world's leading automakers - from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC - to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

AsCerencelooks to the future and continues an ambitious growth agenda,we need someonetojointheteam and help build the future of voice and AI in cars. This is an exciting opportunity to joinCerence'spassionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:


- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.