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Embedded Machine Learning Internship Jobs in Wisconsin

... embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Senior Engine Code Engineer

Waukesha, WI

$104K - $143K/yr

... embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Sr. Electrical Engineer - NPD

Brookfield, WI

$101K - $132K/yr

Andwe'repushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doorsyou'llbe empowered every day to own it ...

And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to own ...

And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to own ...

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Sr Electrical Engineer

Brookfield, WI · On-site

$101K - $132K/yr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Sr. Electrical Engineer - NPD

Brookfield, WI · On-site

$101K - $132K/yr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Sr Electrical Engineer

Brookfield, WI

$101K - $132K/yr

And we're pushing the limits in firmwareengineering,power electronics,embedded systems,machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to own ...

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Embedded Machine Learning Internship information

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What are the most commonly searched types of Embedded Machine Learning jobs in Wisconsin? The most popular types of Embedded Machine Learning jobs in Wisconsin are:
What are popular job titles related to Embedded Machine Learning Internship jobs in Wisconsin? For Embedded Machine Learning Internship jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Embedded Machine Learning Internship jobs? Cities in Wisconsin with the most Embedded Machine Learning Internship job openings:
Engineer II - Engine Coding

Engineer II - Engine Coding

Generac

Waukesha, WI

Full-time

Posted 7 days ago


Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

304th of 430 rated machine equipment manufacturers


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


The Engine Code Engineer II plays an important role in advancing the design and performance of internal combustion engines (ICE), through code creation, embedded software, and code validation. This position leverages CAN, ATI Vision, and Matlab/Simulink tools to optimize system behavior, improve engine control, and increase engine performance across a range of gaseous fueled applications.

Major Responsibilities:

  • Create system-level engine code using Matlab/Simulink to support engine and generator design and development.

  • Conduct simulated and functional analyses to evaluate engine performance of mechanical and energy systems.

  • Conduct system evaluation and testing to aid in optimizing an engine's steady state and transient performance.

  • Interprets testing results and collaborates with cross-functional teams through code design reviews and technical discussions to guide product development.

  • Contribute to the development of software and code analysis best practices to improve efficiency and accuracy.

  • Document code objectives, methods, and results using standardized reporting formats.

  • Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting.

  • Stay informed on relevant technologies, tools, and industry trends to support continuous improvement.

Minimum Qualifications:

  • Bachelor of Science Degree in Mechanical or Electrical Engineering or related discipline

  • 2 or more years of relevant work experience


Knowledge, Skills and Abilities:

  • Hands-on experience with Matlab/Simulink.

  • Experience applying MATLAB/Simulink and Python in engineering analysis and simulation.

  • Hands-on experience with Matlab/Simulink as applied to engine control.

  • Proficiency in applying Matlab/Simulink to internal combustion engine related systems, including steady state, transient, fault codes, SPNs, SAE J1939 CAN networks, sensor integration, and embedded systems.

  • Experienced in automotive standards.

  • Experience with co-simulation environments, including Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL).

  • Familiarity with machine learning and predictive analytics techniques applied to engine performance and emissions modeling.

  • Familiarity with generator design.

  • Strong analytical and problem-solving skills, with a deep understanding of internal combustion engine design, operation, and testing.

  • Strong written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.

Preferred Qualifications:

  • Master's degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field of study.

  • Advanced experience in engine and engine system code writing in Matlab/Simulink.

  • Advanced experience applying MATLAB/Simulink and Python to internal combustion engine design.

  • Advanced experience using ATI Vision to set calibrations in internal combustion engines.

  • Advanced experience in applying MATLAB/Simulink and Python in engineering analysis and simulation.

  • Proficiency in applying Matlab/Simulink code to complex propulsion systems, with demonstrated success in optimizing transients, steady state, and overall performance.

  • Deep knowledge in internal combustion engine system architecture, operational dynamics, and advanced testing methodologies.

  • Experience designing and executing co-simulation workflows, including SiL and HiL integration for real-time system validation.

  • Vast ability to synthesize and present complex code insights to diverse technical and non-technical stakeholders, influencing design decisions.

  • Understanding of applying machine learning and advanced predictive analytics to optimize engine performance with experience developing custom code.

  • Analytical acumen and strategic problem-solving capabilities, with a track record of delivering high-impact engineering solutions.

  • Excellent written and verbal communication skills with the ability to clearly interpret and present complex simulation results to technical and non-technical audiences.

  • Familiarity with gaseous fuel systems for internal combustion engines.

Physical Demands:

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."


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