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Research Scientist Optimization Jobs in Raleigh, NC

Targan Inc

Scientist III

Raleigh, NC · On-site

... and optimizing complex in vitro and in vivo studies that support poultry-focused product ... Key Job Responsibilities Research Design & Study Execution * Independently develop and refine study ...

UNC-Chapel Hill

Catalysis Scientist

Chapel Hill, NC

... optimization, and user training. This position will support and advise scholarship and scientific research efforts, including reaction design and analysis. Minimum Education and Experience ...

NCSU

Research Assistant

Raleigh, NC · On-site

$18.75 - $25.75/hr

... optimal, real-time decision making ... The PSA program is housed within the Department of Crop and Soil Sciences. Wolfpack Perks and ...

Contemporaries

Be Seen First

Data Scientist

Durham, NC · Remote

$51 - $58/hr

... scientific ... research efforts. Position Responsibilities * Support the continued development and optimization of ...

ARA

Research Engineer - AI/ML

Raleigh, NC · On-site

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer ... optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist ...

ARA

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181.20K/yr

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer ... optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist ...

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Research Scientist Optimization information

See Raleigh, NC salary details

$49.1K

$126.5K

$169.1K

How much do research scientist optimization jobs pay per year?

As of May 28, 2026, the average yearly pay for research scientist optimization in Raleigh, NC is $126,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a Research Scientist in Optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What does a Research Scientist in Optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

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

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Research Scientist Optimization jobs in Raleigh, NC? For Research Scientist Optimization jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Research Scientist Optimization jobs in Raleigh, NC look for? The top searched job categories for Research Scientist Optimization jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Research Scientist Optimization jobs? Cities near Raleigh, NC with the most Research Scientist Optimization job openings:
Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in Raleigh, NC as of May 2026, with employment types broken down into 73% Full Time, 20% Part Time, and 7% Contract. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $126,484 per year, or $60.8 per hour.
Research Scientist, Circuits - PhD New College Grad 2026

Research Scientist, Circuits - PhD New College Grad 2026

Nvidia

Durham, NC

Full-time

Posted 11 days ago

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.
Nvidia logo

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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