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Phd Optimization Research Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior Research Scientist, Circuits

Durham, NC · On-site

$95K - $121K/yr

Explore circuit approaches to optimizing processor computation and interconnect performance and ... PhD or equivalent experience in Electrical Engineering, Computer Science/Engineering, or related ...

Duke University

Postdoctoral Associate

Durham, NC

Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more ... A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more ... A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ...

micro1 AI

Senior Scientific Reviewer - Physics

Cary, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Senior Scientific Reviewer - Physics

Raleigh, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Senior Scientific Reviewer - Physics

Durham, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

Physics Content Evaluator (LaTeX/Python)

Cary, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Durham, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Raleigh, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Physics

Cary, NC · On-site +1

$80 - $150/hr

Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

micro1 AI

AI Training Specialist - Chemistry

Durham, NC · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

micro1 AI

AI Training Specialist - Chemistry

Cary, NC · Remote

$70 - $90/hr

... and research domain. In this role, you'll apply your expertise to help train next-generation AI ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

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All JobsPhd Optimization Research JobsPhd Optimization Research Jobs in Raleigh, NC

Phd Optimization Research information

See Raleigh, NC salary details

$28.7K

$92.7K

$150.7K

How much do phd optimization research jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd optimization research in Raleigh, NC is $92,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $106,000.00 per year, depending on experience, location, and employer.

What is a PhD in optimization research?

A PhD in Optimization Research is an advanced academic degree focused on developing and analyzing mathematical models and algorithms to find the best possible solutions to complex problems. This field often involves linear and nonlinear programming, combinatorial optimization, and stochastic processes, and is applied in areas such as operations research, machine learning, logistics, and engineering. Graduates are prepared for careers in academia, industry, or research institutions, where they work on improving decision-making processes and resource allocation. The program typically involves coursework, comprehensive exams, and original research leading to a dissertation.

What are the typical collaborative projects that a PhD optimization researcher might work on within a multidisciplinary team?

PhD Optimization Researchers often collaborate on projects that integrate expertise from fields such as data science, engineering, computer science, and business analytics. These projects may involve developing and implementing advanced optimization algorithms to solve complex, real-world problems like supply chain management, resource allocation, or energy systems modeling. Team members typically contribute domain knowledge, data, and problem requirements, while the optimization researcher focuses on model formulation, algorithm selection, and solution analysis. Effective communication and adaptability are essential, as researchers must translate technical findings into actionable insights for stakeholders.

What are the key skills and qualifications needed to thrive as a PhD optimization researcher, and why are they important?

To excel as a PhD Optimization Researcher, you typically need a doctorate in applied mathematics, computer science, operations research, or a related field, along with expertise in mathematical modeling and algorithm development. Proficiency with programming languages such as Python, MATLAB, or C++, and familiarity with optimization libraries and tools like Gurobi or CPLEX are commonly required. Strong analytical thinking, creativity, and effective communication skills help in formulating novel solutions and collaborating with interdisciplinary teams. These competencies are crucial for advancing research, solving complex optimization problems, and effectively disseminating findings within both academic and industry settings.

What is the difference between Phd Optimization Research vs Data Scientist?

AspectPhd Optimization ResearchData Scientist
Required CredentialsPhD in Operations Research, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departments in industryTech companies, finance, healthcare, consulting firms
Industry UsageFocus on developing optimization algorithms, mathematical modelingFocus on data analysis, machine learning, predictive modeling
Common Search/ComparisonYesYes

While both roles involve advanced analytical skills, Phd Optimization Research primarily focuses on developing and refining optimization algorithms and mathematical models, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models, often applying machine learning techniques. The roles overlap in data analysis and quantitative skills but differ in their core focus and typical work environments.

What are popular job titles related to Phd Optimization Research jobs in Raleigh, NC?

For Phd Optimization Research jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Phd Optimization Research jobs in Raleigh, NC look for?

The top searched job categories for Phd Optimization Research jobs in Raleigh, NC are:

Phd Optimization Research jobs near you
Infographic showing various Phd Optimization Research job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $92,654 per year, or $44.5 per hour.

Research Scientist, Circuits - PhD New College Grad 2026

Nvidia

Durham, NC • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are now looking for a Research Scientist for Circuits. Advanced circuit design is critically important in the post-Moore's Law age. Without the ability to scale process to increase performance and reduce power, we must rely more and more on creative architectural and underlying circuit solutions to provide continuing advancement from generation to generation.

NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you have a strong circuits background, desire to collaborate with elite researchers on critical problems, and a vision about how to advance the state-of-the-art, the team will be a great fit for you. NVIDIA has an ambitious circuit research agenda that involves taking circuit technology to the next level. This position offers an opportunity to have a real impact in a fast-moving technology-focused company.

What you'll be doing:

  • Explore circuit approaches to optimizing processor computation and interconnect performance and power.

  • Design and implement circuit approaches in prototype systems.

  • Collaborate with external researchers and a diverse set of internal product teams across research and product roles.

  • Transfer technology to product groups.

  • Publish original research and speak at conferences and events.

What we need to see:

  • Pursuing PhD or equivalent experience in Electrical Engineering, Computer Science/Engineering, or related field. A strong publication, patent, and research collaboration history is a huge advantage.

  • Excellent knowledge and broad background of theory and practice of circuit design.

  • Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, thermal, packaging/3DIC, security circuits, and high-speed logic).

  • Track record of research excellence or significant product development.

  • Excellent communication and collaboration skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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