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System Engineer Phd Jobs in Wisconsin (NOW HIRING)

Wisconsin

Teaching Faculty

Madison, WI

$70K/yr

The Department of Industrial and Systems Engineering at the University of Wisconsin-Madison invites ... PhD in Industrial Engineering or a related field. How to Apply: Click the "Apply" button to start ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI · On-site

Assure safety and regulatory compliance of systems by creating failure/safety reports when issues ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI · On-site

$95K - $155K/yr

Assure safety and regulatory compliance of systems by creating failure/safety reports when issues ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI · On-site

Assure safety and regulatory compliance of systems by creating failure/safety reports when issues ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

Google

Software Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Master's degree or PhD in Computer Science or related technical fields. * 2 years of experience ... Proficiency in code and system health, diagnosis and resolution, and software test engineering ...

BCforward

Advanced Manufacturing Engineer

Milwaukee, WI · On-site

$40.54/hr

Heavy emphasis on use of Quality Management System and Good Manufacturing Practices for FDA ... MS/PHD in technical concentration/field 7+ years industrial experience in Manufacturing Engineering ...

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System Engineer Phd information

See Wisconsin salary details

$54K

$128.4K

$168.6K

How much do system engineer phd jobs pay per year?

As of Aug 6, 2026, the average yearly pay for system engineer phd in Wisconsin is $128,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $158,500.00 per year, depending on experience, location, and employer.

What are common challenges system engineer PhDs face when transitioning from academia to industry roles?

System Engineer PhDs often encounter challenges when shifting from academic research to industry, such as adapting to faster project timelines and working within cross-functional teams. In industry, there is typically a greater emphasis on practical application and collaboration, rather than theoretical exploration. Adjusting to structured workflows and aligning technical solutions with business objectives are also key transitions. However, this environment offers opportunities to see the tangible impact of your work and to advance into senior technical or leadership roles.

What is the difference between System Engineer Phd vs Network Engineer?

AspectSystem Engineer PhdNetwork Engineer
Required CredentialsPhd in Engineering or related field, possibly with certifications like Cisco or CompTIAAssociate's or Bachelor's in Computer Science or related, with certifications like Cisco CCNA or CCNP
Work EnvironmentResearch labs, R&D departments, or advanced technical teams in tech companiesNetwork operations centers, IT departments, or telecommunications firms
Employer & Industry UsageResearch institutions, tech companies, or organizations requiring advanced system designTelecom providers, enterprise IT, or service providers

The main difference between a System Engineer Phd and a Network Engineer lies in their focus and qualifications. System Engineers with a Phd typically engage in advanced system design, research, and development, often in research or high-tech environments. Network Engineers focus on designing, implementing, and maintaining network infrastructure, usually with industry certifications. Both roles are essential in tech industries but serve different technical needs and expertise levels.

What are the key skills and qualifications needed to thrive as a system engineer PhD, and why are they important?

To thrive as a System Engineer PhD, you need advanced knowledge of systems engineering principles, research methodologies, and typically a doctorate in engineering or a related field. Familiarity with modeling and simulation tools (e.g., MATLAB, Simulink), systems engineering software (e.g., IBM DOORS), and relevant industry certifications are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you lead complex projects and collaborate with multidisciplinary teams. These skills and qualifications are essential for driving innovation, ensuring robust system design, and successfully managing sophisticated engineering challenges.

What is a system engineer PhD?

System Engineer PhDs are professionals who have earned a doctoral degree (PhD) in systems engineering or a closely related field. They specialize in designing, analyzing, and managing complex systems across various industries, such as aerospace, defense, IT, and manufacturing. Their advanced education enables them to conduct research, develop innovative solutions, and lead multidisciplinary teams to tackle large-scale engineering challenges. System Engineer PhDs often work in academia, research institutions, or high-level industry roles, focusing on optimizing system processes and integration.

What can I do with a PhD in system engineer?

A PhD in system engineering prepares individuals for advanced roles in research, development, and systems design across industries such as aerospace, defense, technology, and manufacturing. Graduates often work as systems engineers, research scientists, or technical consultants, utilizing skills in systems analysis, modeling, and simulation, and may pursue careers in academia or industry innovation.
What are popular job titles related to System Engineer Phd jobs in Wisconsin? For System Engineer Phd jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching System Engineer Phd jobs in Wisconsin look for? The top searched job categories for System Engineer Phd jobs in Wisconsin are:
What cities in Wisconsin are hiring for System Engineer Phd jobs? Cities in Wisconsin with the most System Engineer Phd job openings:
System Engineer Phd jobs near you

Machine Learning Engineer I

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

Job Description:
Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Your role on our team
As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.
This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.
What TOOLS you'll bring with you (Required):
  • Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
  • Completed course work or specialization in Machine Learning and/or Data Science
  • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
  • Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
  • Proficient developing and debugging code in Python
  • Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
  • Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
  • Sold mathematical foundation in statistics, linear algebra, calculus and optimization
  • Ability to travel up to 10% of the time (domestic and international).

Other TOOLS you may have (Preferred):
  • Master's degree or PhD in Machine Learning or related field
  • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
  • Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
  • Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
  • Experience working with modern software development tools and version control tools

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

Apply