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Phd In Robotics Salary Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior GPU Memory Architect

Durham, NC

MS/PhD in Electrical Engineering, Computer Science, or related field * Experience with hardware ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

University System of New Hampshire

Lecturer

Durham, NC · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Additional Preferred Qualifications PhD in Chemical Engineering or Bioengineering or related engineering discipline. Salary Information Salary is complemented by a comprehensive benefits package ...

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Phd In Robotics Salary information

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$81.7K

$93.3K

$113.2K

How much do phd in robotics salary jobs pay per year?

As of Aug 13, 2026, the average yearly pay for phd in robotics salary in Raleigh, NC is $93,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $99,200.00 per year, depending on experience, location, and employer.

What is the average salary for someone with a PhD in robotics?

The average salary for individuals with a PhD in Robotics varies depending on the industry, location, and level of experience. In the United States, salaries typically range from $90,000 to $150,000 per year, with higher salaries often found in sectors like technology, manufacturing, and academia. Senior roles in research and development or at leading tech companies may offer even higher compensation. Factors such as geographic location, specific expertise, and employer type can significantly influence the salary range.

What are the key skills and qualifications needed to thrive as a robotics engineer with a PhD, and why are they important?

To excel as a Robotics Engineer with a PhD, you need advanced knowledge in robotics, control systems, artificial intelligence, and a strong academic background typically demonstrated by a doctorate in robotics, computer science, or a related field. Expertise in programming languages (such as Python, C++), simulation tools (like ROS or MATLAB), and experience with hardware prototyping are commonly required technical skills. Exceptional problem-solving, innovation, and teamwork abilities distinguish top performers in this role. These competencies enable the design and implementation of cutting-edge robotic systems, driving progress in research and industry applications.

What is the difference between Phd In Robotics Salary vs Robotics Engineer Salary?

AspectPhd In Robotics SalaryRobotics Engineer Salary
Required CredentialsPhD in Robotics or related fieldBachelor's or Master's in Robotics, Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, tech companies
Industry UsageResearch, academia, specialized R&D rolesProduct development, system design, implementation

Typically, individuals with a PhD in Robotics earn higher salaries due to advanced expertise and research experience, often working in research or academic roles. Robotics Engineers usually have a bachelor's or master's degree and focus on practical application and system development, resulting in slightly lower average salaries but broader industry opportunities.

What career advancement opportunities are available for professionals with a PhD in robotics?

Professionals holding a PhD in Robotics often have access to a wide range of career advancement opportunities in both academia and industry. In academia, they can pursue tenure-track faculty positions or lead research labs. In industry, they are well-positioned for senior research scientist, robotics engineer, or leadership roles such as R&D manager or chief technology officer. Additionally, PhD holders may advance by publishing influential research, securing patents, or transitioning into entrepreneurial ventures, such as founding robotics startups.

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For Phd In Robotics Salary jobs in Raleigh, NC, the most frequently searched job titles are:

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Phd In Robotics Salary jobs near you

GPU Architecture Engineer - New College Grad 2026

Nvidia

Durham, NC

$135K - $167K/yr

Full-time

Posted 22 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 244 rated software companies

Job description

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture.

What you will be doing:

  • Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics.

  • Understand and model in C++ and python, features for future GPU graphics and parallel processing architectures.

  • Develop test plans and testing infrastructure.

  • Debug tests on architecture simulators.

  • Develop tools to validate performance models and verify functional models.

What we need to see:

  • Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline.

  • Strong programming ability in C, C++, and Python.

  • Deep knowledge of computer architecture and parallel programming.

Ways to stand out from the crowd:

  • Experience in machine learning/deep learning and/or graphics algorithms, and/or signal processing.

  • Prior architecture experience.

  • Programming in CUDA and/or DX and Vulkan.

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 and autonomous, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

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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