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System Engineer Phd Jobs in Dallas, TX (NOW HIRING)

Zone 5 Technologies

Chief Engineer

Fort Worth, TX

... or PhD preferred) * 5+ years in technical leadership roles with direct responsibility for system ... Proficiency in systems engineering tools and hardware verification methodologies * Knowledge of ...

Nokia

System Design Engineer

Coppell, TX · On-site +1

$98K - $135K/yr

We are seeking a talented and experienced System Design Engineer to join our dynamic team at Nokia ... Master's degree in Engineering, Computer Science, or Physics is required; a PhD degree is preferred ...

Nokia

System Design Engineer

Coppell, TX · On-site

$108K - $154K/yr

We are seeking a talented and experienced System Design Engineer to join our dynamic team at Nokia ... Master's degree in Engineering, Computer Science, or Physics is required; a PhD degree is preferred ...

L3HHCM20

Intern, Electrical Engineer

Greenville, TX · On-site

$15.75 - $20.75/hr

... systems on the aircraft Qualifications: * To be eligible, candidate's must be pursuing a Bachelor's degree, a Master's degree or a PhD in Electrical Engineering, Electrical Engineering Technology ...

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Showing results 21-40

All JobsSystem Engineer Phd JobsSystem Engineer Phd Jobs in Dallas, TX

System Engineer Phd information

See Dallas, TX salary details

$52.9K

$125.8K

$165.2K

How much do system engineer phd jobs pay per year?

As of Aug 26, 2026, the average yearly pay for system engineer phd in Dallas, TX is $125,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $155,300.00 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 Dallas, TX?

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

What job categories do people searching System Engineer Phd jobs in Dallas, TX look for?

The top searched job categories for System Engineer Phd jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for System Engineer Phd jobs?

Cities near Dallas, TX with the most System Engineer Phd job openings:

System Engineer Phd jobs near you
Infographic showing various System Engineer Phd job openings in Dallas, TX as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $125,845 per year, or $60.5 per hour.

Senior Engineer, Software Systems (R4903)

Dallas, TX • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$110K - $170K/yr

Full-time

Re-posted 22 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions.
What you'll do:
  • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
  • Develop system architectures and perform trade studies to balance performance, cost, and risk
  • Coordinate and manage interfaces across hardware, software, and external systems
  • Support system integration, verification, and validation activities, including test planning and execution
  • Identify technical risks and develop mitigation strategies throughout the system lifecycle
Required qualifications:
  • A minimum of 5 years of systems engineering or related experience with a Bachelor's degree; or 4 years and a Master's Degree; or 2 years with a PhD; or equivalent work experience
  • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
  • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
  • Experience with MBSE and related efforts
  • Experience working in cross-functional teams
  • Excellent communication skills, both written and verbally
  • Organized and methodical
  • Software engineer experience in C++ and/or Python
  • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance
Preferred qualifications:
  • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
  • Expertise with Requirement & Design decomposition
  • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
$110,000 - $170,000 a year
#LI-DM2
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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