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System Engineer Phd Jobs in Bolingbrook, IL (NOW HIRING)

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System Engineer Phd information

See Bolingbrook, IL salary details

$52.9K

$125.8K

$165.1K

How much do system engineer phd jobs pay per year?

As of Sep 1, 2026, the average yearly pay for system engineer phd in Bolingbrook, IL is $125,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $155,200.00 per year, depending on experience, location, and employer.

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 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 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 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 Bolingbrook, IL?

For System Engineer Phd jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching System Engineer Phd jobs in Bolingbrook, IL look for?

The top searched job categories for System Engineer Phd jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for System Engineer Phd jobs?

Cities near Bolingbrook, IL with the most System Engineer Phd job openings:

System Engineer Phd jobs near you
Infographic showing various System Engineer Phd job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $125,796 per year, or $60.5 per hour.

Senior Structural Engineer (OpenSees | AI Training & Evaluation)

Lifted, an Upwork Company™

Chicago, IL • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Company Description

An enterprise client is seeking experienced Structural Engineers to help train and evaluate next-generation AI systems. This opportunity is part of a large-scale initiative focused on improving how AI models solve complex structural engineering problems and generate technically accurate engineering solutions.

You will work alongside a community of subject matter experts contributing real-world engineering knowledge to help shape the future of Generative AI.

    Job Description

    This opportunity is ideal for experienced Structural Engineers who enjoy solving complex engineering problems and want to apply their expertise to cutting-edge AI technology.

    What You'll Do:

    • Design realistic AI training tasks based on structural engineering concepts and real-world design challenges.
    • Create clear engineering problem statements covering structural analysis, design, simulation, and code compliance.
    • Develop reference solutions and deterministic scoring criteria to evaluate AI-generated responses.
    • Build engineering tasks using OpenSees and other structural engineering methodologies.
    • Create evaluation scenarios involving topics such as:
      • Pushover analysis
      • Seismic design
      • Finite Element Analysis (FEA)
      • Reinforced concrete design
      • Steel connection detailing
      • Structural retrofit
    • Review AI-generated engineering solutions for technical accuracy, engineering judgment, and compliance with applicable design codes.
    • Provide structured feedback that helps improve AI performance in structural engineering.
    • Work independently in a fully remote, flexible environment.
    Qualifications

    Requirements:

    • Bachelor's degree in Civil Engineering, Structural Engineering, or a closely related field (Master's or PhD is a plus).
    • Professional experience in structural analysis and structural design.
    • Hands-on experience using OpenSees.
    • Strong understanding of structural design standards such as ACI 318, AISC 360, or Eurocode (EN 1992, EN 1993, EN 1998).
    • Experience with structural engineering concepts including nonlinear modeling, response spectrum analysis, pushover analysis, or performance-based design.
    • Ability to write clear, detailed, and technically accurate engineering documentation.
    • Strong analytical thinking and attention to detail.
    • Excellent written English communication skills.
    • Ability to work independently and manage your own schedule.

    Nice to Haves:

    • Master's degree or PhD in Structural Engineering or a related discipline.
    • Experience with advanced seismic engineering or structural retrofit projects.
    • Experience with finite element modeling and structural simulation.
    • Previous experience reviewing technical work, conducting research, or developing engineering assessments.
    • Interest or experience in AI, machine learning, or engineering model evaluation.

    Additional Information
    • Fully remote, project-based opportunity.
    • Flexible schedule — work whenever it fits your availability.
    • Compensation ranges from $80–110 USD per hour, depending on experience.
    • Expected workload is 10–39 hours per week, though project volume may fluctuate.
    • Payments are issued weekly for work completed during the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.

    Apply