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Robotics Phd Intern Jobs (NOW HIRING)

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Basic Qualifications * BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... Basic Qualifications * BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a ...

PlusAI

Perception Intern

Santa Clara, CA · On-site

$19 - $65/hr

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world ... Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field ...

WeRide.ai

2026 Summer Intern - PhD

San Jose, CA

$40 - $60/hr

Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field, with an expected graduation date before the end of 2027. * Proficient in C++ and/or Python with ...

WeRide.ai

2026 Summer Intern - PhD

San Jose, CA · On-site

$40 - $60/hr

Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field, with an expected graduation date before the end of 2027. * Proficient in C++ and/or Python with ...

PlusAI

Research Engineer Intern

Santa Clara, CA

$19 - $65/hr

Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience. * Software design and development experience in Python ...

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Robotics Phd Intern information

What does a Robotics PhD Intern do?

A Robotics PhD Intern typically works on advanced research and development projects related to robotics, such as designing algorithms, building prototypes, and conducting experiments. They collaborate with senior researchers and engineers, contribute to academic publications, and may present their findings at conferences. The internship is designed to provide hands-on experience in applying theoretical knowledge to solve real-world robotics challenges, often in areas like machine learning, computer vision, or control systems.

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

To thrive as a Robotics PhD Intern, you need advanced knowledge of robotics, machine learning, and algorithm development, usually supported by ongoing doctoral studies in robotics, computer science, or a related field. Proficiency with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and relevant research methodologies is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills help interns excel in research teams. These skills and qualities are crucial for driving innovation, contributing to cutting-edge projects, and effectively translating research into practical robotics solutions.

What is the difference between Robotics Phd Intern vs Robotics Engineer?

AspectRobotics Phd InternRobotics Engineer
Required CredentialsPhD candidate or recent PhD graduate in robotics, engineering, or related fieldBachelor's or Master's in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, corporate R&D departmentsIndustrial settings, manufacturing, technology companies, startups
Employer & Industry UsageUniversities, research institutions, corporate R&D teamsTech companies, manufacturing firms, automation industries

The main difference between a Robotics Phd Intern and a Robotics Engineer lies in experience, focus, and employment setting. Interns are typically pursuing or have recently completed a PhD and focus on research and development in academic or corporate labs. Robotics Engineers usually hold a bachelor's or master's degree and work on designing, developing, and implementing robotic systems in industrial environments.

What types of projects and daily tasks can a Robotics PhD Intern expect to work on during their internship?

As a Robotics PhD Intern, you will typically engage in cutting-edge research and development projects, often contributing to areas such as computer vision, machine learning, sensor integration, or autonomous navigation. Daily tasks may include designing and running experiments, analyzing data, developing algorithms, and collaborating closely with multidisciplinary teams of engineers and researchers. Interns often present findings in team meetings and participate in code reviews, gaining valuable feedback and exposure to real-world robotics challenges. This hands-on experience is an excellent opportunity to bridge academic research with industry applications, preparing you for future roles in robotics or advanced R&D.
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Infographic showing various Robotics Phd Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 50% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
PhD Software Engineering Intern, Decision Intelligence - Fall 2026

PhD Software Engineering Intern, Decision Intelligence - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you passionate about decision optimization, genAI, and advanced parallel computing techniques? NVIDIA's cuOpt team is at the forefront of redefining decision-making systems with a GPU-accelerated open-source platform. If you are looking for a place where you can apply your outstanding skills and make a meaningful impact, this is the opportunity for you! Join us to help build the future of decision intelligence.
What you'll be doing:
  • Prototype and develop parallel algorithms for decision optimization problems
  • Performance tuning, optimization, and benchmarking of large-scale parallel numerical software
  • Collaborate with team members to understand software use cases and requirements

What we need to see:
  • Pursuing a PhD degree in Computer Science or a related field
  • Excellent parallel C++ programming, with familiarity in CUDA programming
  • Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization
  • Mathematical programming (linear, quadratic, mixed-integer) and/or fundamentals of heuristics like genetic algorithms and large neighborhood search
  • Ability to work independently and lead your own development effort

Ways to stand out from the crowd:
  • Experience in algorithmic discovery via autoresearch agents and automated code evolution
  • Track record of relevant open-source contributions in optimization, machine learning, or GPU programming
  • Understanding of hardware and system architecture, including CPU/GPU/Memory/Storage, and everything related to performance optimization
  • Proficiency in a scripting language, preferably Python

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until May 26, 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

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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