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System Engineer Phd Jobs in Ohio (NOW HIRING)

NEURA Robotics

$90 - $140/hr

MSc or PhD in Robotics, Systems Engineering, Electrical Engineering, Computer Science, or related discipline. 3+ years of experience is a plus. * Track Record: Experience developing complex robotic ...

Starion Group

$97.01 - $131.25/hr

Master's or PhD degree or equivalent in Aerospace Engineering, Systems Engineering, Space Engineering, Physics, Electrical Engineering, Space Science, or a related technical discipline. * Minimum 4 ...

HII's Mission Technologies division

$135K - $169K/yr

The Systems Engineer performs technical planning, system integration, verification and validation ... with PhD; or High School Diploma or equivalent and 19 years relevant experience. * Position ...

Huntington Ingalls Industries

$135K - $169K/yr

The Systems Engineer performs technical planning, system integration, verification and validation ... with PhD; or High School Diploma or equivalent and 19 years relevant experience. * Position ...

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System Engineer Phd information

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$50.9K

$120.9K

$158.8K

How much do system engineer phd jobs pay per year?

As of Aug 28, 2026, the average yearly pay for system engineer phd in Ohio is $120,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $149,300.00 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 Ohio?

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

What job categories do people searching System Engineer Phd jobs in Ohio look for?

The top searched job categories for System Engineer Phd jobs in Ohio are:

What cities in Ohio are hiring for System Engineer Phd jobs?

Cities in Ohio with the most System Engineer Phd job openings:

System Engineer Phd jobs near you
Infographic showing various System Engineer Phd job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $120,943 per year, or $58.1 per hour.

System Engineer (human)

NEURA Robotics

On-site

$90 - $140/hr

Other

Posted 9 days ago

Job description

At the heart of product innovation and development, our Systems Engineering Department transforms market demands into safe, certifiable, and competitive solutions and architectures. By collaborating closely with software, hardware, safety, and certification teams, we ensure every product meets the highest standards while adapting to fast-evolving market needs. Our mission is to enable seamless human-robot collaboration and deliver solutions that are safe, compliant, and ready for the future. Join us to shape the next generation of human-robot systems by owning system-level requirements, integration, and alignment, with architectural responsibilities as needed. If you thrive in cross-functional teamwork and technical excellence, you’ll find extraordinary opportunities with us.

Your Mission & Challenges

  • The Bridge: Drive product success by converting customer and product needs into structured, traceable system requirements. Participate in system architecture definition; lead architecture for product lines where applicable.

  • Collaborate and Align: Allocate requirements to subsystems and define interfaces ensuring alignment across mechanical, electrical, software, controls, AI and perception domains. Drive cross-disciplinary coordination to ensure coherent system behavior and compliance.

  • Drive Integration: Define and support system verification, validation, and certification strategies, including test plans and acceptance criteria.

  • Own System Scope: Establish and maintain key systems engineering artifacts, including requirements specs, architecture, interface definitions and traceability documentation. Contribute to technical reviews, design reviews, architecture reviews, and product lifecycle milestones.

  • End-to-End Execution: Support execution and system integration and performance validation throughout prototype and product phases. Facilitate smooth transition from development to production and field deployment.

What We Can Look Forward To

  • Education: MSc or PhD in Robotics, Systems Engineering, Electrical Engineering, Computer Science, or related discipline. 3+ years of experience is a plus.

  • Track Record: Experience developing complex robotic systems in multidisciplinary environments or other related complex safety-related autonomous systems. Solid understanding of system integration, lifecycle processes, and collaboration with architecture teams. Knowledge of robotics software frameworks and middleware.

  • Background: Expertise in requirements management and system architecture tools. Experience with model-based systems engineering (MBSE) for system architecture and traceability. Solid understanding of system integration, lifecycle processes, and cross‑function collaboration.

  • Cross Functional Experience: Good grasp of mechatronic components, robotic hardware architecture, sensors and robotics software frameworks and middleware (e.g., ROS/ROS2 or similar).

  • System Safety Mindset: Experience with functional safety, cybersecurity, and certification standards relevant to robotics and mechatronics (e.g., ISO 13849, ISO 10218, ISO 26262, ISO/SAE 21434).

  • Personal Driver: Strong analytical, problem‑solving, and communication skills in cross‑functional teams. Comfortable working in agile or scaled development environments.

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