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Phd Engineer Jobs in Texas (NOW HIRING)

Last Energy

Nuclear Engineer - Radiological

Austin, TX · On-site

$97K - $117K/yr

Other duties as assigned Qualifications * BS, MS, or PhD in Nuclear Engineering, or a related degree (e.g., physics with nuclear concentration) * 5+ years of applicable experience in PWR or BWR ...

Last Energy

Nuclear Engineer - Radiological

Austin, TX · On-site

$97K - $117K/yr

Other duties as assigned Qualifications * BS, MS, or PhD in Nuclear Engineering, or a related degree (e.g., physics with nuclear concentration) * 5+ years of applicable experience in PWR or BWR ...

Kinder Morgan

2027 BOLT Intern - CO2 PhD/MS

Houston, TX · On-site

$16 - $20.75/hr

Providing on-site field engineering support for production operations. * Analysis and support for ... Pursuing a PHD in petroleum, mechanical, or chemical engineering. Required Qualifications: * Self ...

Enphase Energy

Senior Staff Thermal Engineer

Austin, TX · On-site

$103K - $142K/yr

Who You Are and What You Bring * BS, MS, or PhD in Mechanical Engineering, Aerospace Engineering, or closely related field * Job title and level determined by candidate experience: * Staff Engineer ...

Qualcomm

Compiler Tools Engineer

Austin, TX · On-site

$81K - $109K/yr

Master's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field. Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Electrical ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

Last Energy

Nuclear Engineer - Radiological

Austin, TX · On-site

$97K - $117K/yr

Other duties as assigned Qualifications * BS, MS, or PhD in Nuclear Engineering, or a related degree (e.g., physics with nuclear concentration) * 5+ years of applicable experience in PWR or BWR ...

skywater

Fab Product Engineer

Austin, TX

The Fab Product Engineer owns product performance throughout fab manufacturing and testing. They ... MS degree or PhD degree are a plus. * Prior semiconductor industry is required. * Requires ...

L3HHCM20

Intern, Structural Engineer

Waco, TX · On-site

$14.75 - $19.25/hr

To be eligible, candidate's must be pursuing a Bachelor's degree, a Master's degree, or a PhD in Mechanical Engineering, Aerospace Engineering, Engineering Mechanics, Materials Science Engineering or ...

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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 are popular job titles related to Phd Engineer jobs in Texas?

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

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

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

What cities in Texas are hiring for Phd Engineer jobs?

Cities in Texas with the most Phd Engineer job openings:

Phd Engineer jobs near you
Infographic showing various Phd Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX • On-site

Full-time, Temporary, Internship

Re-posted 2 days ago

Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Chicago office.
What You'll Do:
Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:
  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency

What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
  • A highly-competitive internship compensation package
  • Optiver-covered flights, living accommodations, and commuting stipends
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more

What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer.
Who You Are:
  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
  • Expected graduation between December 2027 - June 2029 and available to intern during Summer 2027
  • Open to full-time opportunities upon graduation in 2028 or 2029
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

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