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Autonomy Perception Phd Research Jobs (NOW HIRING)

Tycho.AI

Autonomy Engineer - Perception

Cambridge, MA · On-site

Stay current on research and apply state-of-the-art techniques in autonomy and perception. Requirements * Master's or PhD degree in Robotics, Engineering, Computer Science, or a related field; or ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

Background in developing the autonomy (perception, localization, and planning) functions of a ... PhD / advanced research or industry experience in vehicle autonomy or robotics * Background in ...

AeroVect

Staff Autonomy Engineer

San Francisco, CA · On-site

Background in developing the autonomy (perception, localization, and planning) functions of a ... PhD / advanced research or industry experience in vehicle autonomy or robotics * Background in ...

Waymo

Senior Research Scientist, Perception

Kirkland, WA · On-site +1

$112K - $142K/yr

Senior Research Scientist, Perception Waymo is an autonomous driving technology company with the ... PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with ...

Waymo

Senior Research Scientist, Perception

Kirkland, WA · On-site +1

$112K - $142K/yr

Senior Research Scientist, Perception Waymo is an autonomous driving technology company with the ... PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with ...

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How much do autonomy perception phd research jobs pay per year?

As of Sep 13, 2026, the average yearly pay for autonomy perception phd research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is an autonomy perception PhD researcher?

An Autonomy Perception PhD Researcher is a doctoral-level researcher who specializes in studying how autonomous systems, such as self-driving cars or robots, perceive and interpret their surroundings. Their work often involves developing algorithms and models that enable machines to process sensor data and make real-time decisions based on their environment. This research is crucial for improving the safety, reliability, and efficiency of autonomous technologies. Typically, these researchers work in academia, industry research labs, or technology companies focusing on robotics, artificial intelligence, or autonomous vehicles.

What are the typical collaboration opportunities for someone in an autonomy perception PhD research role?

Professionals in Autonomy Perception PhD Research roles often collaborate closely with multidisciplinary teams, including robotics engineers, software developers, and data scientists. These collaborations are essential for integrating perception algorithms into autonomous systems, validating research findings, and sharing expertise to solve complex, real-world problems. Regular meetings, joint experiments, and co-authorship of research papers are common, offering valuable opportunities to expand your professional network and gain cross-functional insights. This collaborative environment fosters both personal growth and the advancement of cutting-edge technology.

What are the key skills and qualifications needed to thrive as an autonomy perception PhD researcher, and why are they important?

To thrive as an Autonomy Perception PhD Researcher, you need advanced knowledge in robotics, computer vision, machine learning, and a PhD in a related field. Familiarity with technical tools such as ROS (Robot Operating System), Python, C++, and relevant simulation environments or deep learning frameworks is typically required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are essential soft skills for this role. These competencies enable researchers to drive innovation, publish impactful findings, and develop cutting-edge perception systems for autonomous technologies.

What is the difference between Autonomy Perception Phd Research vs Autonomy Perception Engineer?

AspectAutonomy Perception Phd ResearchAutonomy Perception Engineer
Required CredentialsPhD in relevant field, research experienceBachelor's or Master's in engineering or related field, some research experience
Work EnvironmentAcademic or research institutions, labsIndustry, R&D departments, technology companies
Employer & Industry UsageUniversities, research centers, government agenciesTech companies, automotive, robotics firms
Common Search & ComparisonResearch focus, academic rolesPractical application, product development

Autonomy Perception Phd Research roles primarily involve academic research, theoretical analysis, and advancing knowledge in perception autonomy. In contrast, Autonomy Perception Engineers focus on applying perception algorithms to real-world autonomous systems, emphasizing practical implementation and product development.

What are popular job titles related to Autonomy Perception Phd Research jobs?

For Autonomy Perception Phd Research jobs, the most frequently searched job titles are:

PhD Research Intern, Generative AI - 2026

Santa Clara, CA • On-site

NVIDIA
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIAexternal

Other

Re-posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

US, CA, Santa Clara

Full time

JR2016035

At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.

What you’ll be doing:

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

  • Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.

  • Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

  • Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.

  • Publish research at top conferences and transfer innovations into NVIDIA products.

What we need to see:

  • Currently pursuing a PhD in CS, EE, Robotics, or related fields.

  • Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.

  • Prior publication record and research experience.

  • Strong Python and PyTorch skills.

Ways to stand out from the crowd:

  • Experience with large-scale foundation model training.

  • Research in video models, VLMs, world models, robotics, or autonomous driving.

  • Experience with distributed training, simulation, or embodied AI.

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!

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 (https://www.nvidia.com/en-us/benefits/interns/) . ​

Applications for this job will be accepted at least until May 31, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .

What Nvidia employees say

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Benefits

Hours and flexibility

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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

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