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Phd Engineer Jobs in Virginia (NOW HIRING)

Master's or PhD degree in a relevant engineering or applied-science field >10 years professional experience including demonstrated success leading large and diverse technical teams in an engineering ...

Senior RF Engineer

Herndon, VA · On-site

$107K - $147K/yr

Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; nine or ...

Senior RF Engineer

Herndon, VA · On-site

$107K - $147K/yr

Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; fifteen ...

Sr, DevOps Engineer

Herndon, VA · On-site

$125 - $150/hr

... PhD with 4 years of relevant experience; an additional 4 years of relevant experience will be ... System Engineer Candidate will develop CI/CD build and deploy pipelines; integrate tools into the ...

DevOps Engineer

Reston, VA · Remote

$200K - $240K/yr

... Engineer to join our team. This role involves hands-on technical expertise while contributing to ... PhD or JD and four (4) years or more experience. * TS/SCI with polygraph. * Experience with ...

Senior DevOps Engineer

Arlington, VA · On-site

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

Senior DevOps Engineer

Arlington, VA · On-site

$134K - $184K/yr

S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with relevant experience depending on degree (BS +5 ...

Showing results 41-60

Phd Engineer information

What is a PhD engineer?

A PhD Engineer is an individual who has completed a Doctor of Philosophy (PhD) degree in an engineering discipline. This advanced degree signifies deep expertise in a specialized area of engineering, often involving original research and the completion of a dissertation. PhD Engineers typically work in academia, research and development, or advanced industry roles where they contribute to scientific innovation and technological advancements. Their work often includes conducting research, publishing scholarly articles, and mentoring students or junior engineers.

What are the key skills and qualifications needed to thrive as a PhD engineer?

To thrive as a PhD Engineer, you need advanced expertise in engineering principles, research methodology, and problem-solving, typically supported by a doctoral degree in an engineering discipline. Familiarity with specialized technical tools, modeling software, data analysis platforms, and sometimes professional certifications are commonly required. Exceptional analytical thinking, innovation, and strong communication skills set top PhD Engineers apart in collaborative and research-driven environments. These competencies are vital for driving technological advancements, publishing impactful research, and leading complex engineering projects.

What are the typical career advancement opportunities for a PhD engineer in an industrial setting?

PhD Engineers in industry often start in research and development roles, where they apply their advanced technical expertise to solve complex problems. Over time, they may progress into senior scientist or technical lead positions, and can also transition into management roles such as R&D manager or director. Career growth is often driven by demonstrated innovation, successful project leadership, and strong collaboration skills. Additionally, PhD Engineers frequently have opportunities to shape company strategy, mentor junior engineers, and contribute to patent portfolios.

What is the difference between Phd Engineer vs Research Scientist?

AspectPhd EngineerResearch Scientist
Required CredentialsPhD in Engineering or related fieldPhD in relevant scientific discipline
Work EnvironmentIndustry labs, R&D departments, manufacturingAcademic labs, research institutions, industry R&D
Employer & Industry UsageTech companies, manufacturing firms, engineering firmsUniversities, government agencies, private research firms
Common Search & ComparisonYesYes

Both Phd Engineers and Research Scientists hold doctoral degrees and work in research-intensive environments. Phd Engineers typically focus on applied engineering projects within industry, while Research Scientists often work on fundamental scientific research in academic or government settings. The choice depends on whether you prefer industry application or scientific exploration.

Is a Phd engineer useful in engineering?

A PhD engineer brings advanced technical expertise, research skills, and problem-solving abilities to engineering projects. They are often involved in innovation, development, and complex analysis, making them valuable for specialized roles, research positions, and leadership in technical fields.

What jobs can I get with a Phd engineer?

A PhD in engineering qualifies individuals for advanced roles such as research scientist, university professor, R&D engineer, or technical consultant. These positions often require strong analytical skills, expertise in specialized tools or software, and may involve project management or collaboration in innovative environments.

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

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

What cities in Virginia are hiring for Phd Engineer jobs?

Cities in Virginia with the most Phd Engineer job openings:

Infographic showing various Phd Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior AI Engineer

Dahlgren, VA • On-site

Technology Service Corporation (TSC)
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees

$106K - $146K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

TSC is seeking a Senior Ontology Engineer in King George/Dahlgren, Virginia. This position supports the Systems Engineering & Analysis Division (SEA).

*Ability to obtain and maintain a SECRET DoD Clearance.

TSC offers a professional working environment, a competitive salary, and an excellent benefits package. Come and join our team!

We are seeking a Senior Ontology Engineer to design, develop, and maintain ontological frameworks and knowledge graph solutions in support of defense mission engineering programs. The ideal candidate combines deep expertise in formal ontology and semantic web technologies with hands-on experience in data integration, graph database systems, large language models, and knowledge-driven data architecture development. This individual will translate complex, multi-domain mission requirements into scalable knowledge representations and work alongside software engineers, systems engineers, and domain experts to deliver end-to-end solutions. The ideal candidate has experience in technical writing and will work alongside the business development team to propose innovative solutions to address requests for proposals.

Responsibilities:

This position is designed to be flexible, with responsibilities evolving to meet program needs, emerging technology trends, and opportunities for individual professional growth.

This position requires a technically deep and mission-focused individual with expertise in knowledge engineering, ontology development, and artificial intelligence technologies applied to defense and mission engineering domains.

Design, develop, and maintain formal ontologies using OWL, RDF/RDFS, and SPARQL aligned with DoD mission engineering requirements and semantic interoperability standards.
Build and deploy knowledge graph solutions that integrate structured and unstructured data sources across heterogeneous, multi-domain defense systems.
Apply and extend upper-level ontology frameworks, ensuring alignment with DoD and IC data standards.
Design and implement graph-based AI and semantic solutions, including LLM-integrated pipelines, RAG architectures, and agentic workflows that leverage knowledge graph representations.
Collaborate with engineers, systems architects, and mission-domain SMEs to translate operational requirements into actionable ontological models and knowledge architectures.
Support semantic integration and data interoperability efforts across legacy and modern system architectures, including graph database deployments (e.g., Stardog, Neptune, Neo4j).
Lead the development and writing of technical approaches for proposals related to supporting the Navy adopt AI technologies

Required Qualifications:

  • Bachelor's degree or higher in Computer Science, Information Science, Knowledge Engineering, or a related discipline; equivalent experience considered

  • PhD with 2+ years of relevant experience, MA/MS with 5+ years of relevant experience, or BA/BS with 7+ years

    • Hands-on experience with knowledge graph technologies including RDF, SPARQL, SHACL, and OWL for DoD or enterprise use cases

    • Experience with schema design, ontology management, and knowledge graph curation

    • Experience designing and developing end-to-end knowledge graph and AI data pipelines, including integration with LLMs or similar models

    • Familiarity with graph database platforms such as Stardog, Blazegraph, Neo4j, or Amazon Neptune

  • Ability to obtain and maintain a SECRET DoD Clearance

Preferred Qualifications:

  • Experience with U.S. Navy Combat Systems

  • 2+ years of hands-on Python experience, including frameworks such as TensorFlow, PyTorch, rdflib, or owlready2, and ETL pipeline tools (e.g., Apache NiFi, Airflow)

  • Experience with full-stack web development, including REST API design and development (e.g., FastAPI, Flask, or Node.js), front-end frameworks (e.g., React or Angular), and containerization/deployment tooling (e.g., Docker, Kubernetes)

  • Practical experience with NLP, semantic search, prompt engineering, and LLMs for enterprise-scale knowledge graph applications including RAG architectures.

  • Experience with agentic AI systems and multi-modal model integration applied to knowledge engineering problems

  • Demonstrated team leadership experience, with the ability to guide junior engineers and collaborate across engineering, research, and program management teams

  • PhD in Computer Science, Knowledge Engineering, Mathematics, or a related field, or a publication record in semantic web and knowledge representation

U.S. Citizenship Required for this Position: Yes

Job Type:Regular

Security Clearance: Secret (ability to obtain required)

Schedule:Full time (40 hr/week)

Travel:0-10%

TSC Benefits:

TSC offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more.

Applying to TSC:

Only those candidates invited for an interview will be contacted. Employment at TSC is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening.


This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.