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Computer Graphics Phd Jobs in Illinois (NOW HIRING)

Nvidia

Senior System Software Engineer

Champaign, IL

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... development * BS/MS/PhD in computer science or a related field (or equivalent experience)

Gehc

Director of Engineering, Architecture

Chicago, IL · On-site

$164K - $246K/yr

Master's degree or PhD in Computer Science, Medical Imaging, Computational Imaging, Computer Graphics, or a related field. * Experience with advanced medical imaging technologies including rendering ...

University of Chicago Library

Research Support

Chicago, IL

$18.50 - $25.50/hr

... PhD., Professor in the Department of Psychiatry and Behavioral Neuroscience at the University of ... Prior experience in human subjects testing, database and graphical packages, and statistics are ...

The University of Chicago

Research Support

Chicago, IL · On-site

$18.50 - $25.50/hr

... PhD., Professor in the Department of Psychiatry and Behavioral Neuroscience at the University of ... Prior experience in human subjects testing, database and graphical packages, and statistics are ...

The University of Chicago

Research Support

Chicago, IL · On-site

$18.50 - $25.50/hr

... PhD., Professor in the Department of Psychiatry and Behavioral Neuroscience at the University of ... Prior experience in human subjects testing, database and graphical packages, and statistics are ...

University of Chicago Library

Research Support

Chicago, IL · On-site

$18.50 - $25.50/hr

... PhD., Professor in the Department of Psychiatry and Behavioral Neuroscience at the University of ... Prior experience in human subjects testing, database and graphical packages, and statistics are ...

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Computer Graphics Phd information

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

To thrive as a Computer Graphics PhD, you need advanced knowledge in computer graphics theory, mathematics, programming, and typically a doctoral degree in computer science or a related field. Expertise in programming languages (such as C++, Python), graphics APIs (like OpenGL or DirectX), and experience with research publication are standard requirements. Creative problem-solving, collaboration, and strong communication skills help distinguish top researchers and innovators in this field. These skills are vital for advancing the state of the art, effectively sharing research findings, and contributing to interdisciplinary projects.

What can you do with a computer graphics PhD?

A computer graphics PhD prepares individuals for research, development, and teaching roles in academia, industry, or government. Graduates often work in areas such as visual effects, virtual reality, simulation, rendering, and algorithm development, utilizing tools like C++, OpenGL, and machine learning techniques.

What are the best PhD programs in computer graphics?

Top PhD programs in computer graphics are often found at universities with strong computer science and visual computing departments, such as Stanford University, MIT, Carnegie Mellon University, and the University of California, Berkeley. These programs typically offer research opportunities in rendering, animation, virtual reality, and related areas, and often require proficiency in programming languages like C++ and tools such as OpenGL or DirectX.

What are some common challenges faced by computer graphics PhD researchers when working in multidisciplinary teams?

Computer Graphics PhD researchers often collaborate with experts in fields like engineering, neuroscience, and design, which can present challenges in aligning technical language and expectations. Successfully bridging the gap between theoretical research and practical application requires strong communication skills and adaptability. Additionally, balancing the demands of publishing academic work with project-driven goals can be demanding, but these collaborations often lead to more innovative and impactful outcomes.

What is the difference between Computer Graphics Phd vs Computer Vision Engineer?

AspectComputer Graphics PhdComputer Vision Engineer
Required CredentialsPhD in Computer Graphics, related research experienceBachelor's or Master's in Computer Science, specialized in Computer Vision
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, R&D teams
Industry UsageAnimation, visual effects, simulationImage recognition, autonomous vehicles, surveillance
Common Search/ComparisonYesYes

The main difference between a Computer Graphics Phd and a Computer Vision Engineer lies in their focus areas. Computer Graphics Phds typically engage in research related to visual rendering, animation, and simulation, often within academia or R&D labs. In contrast, Computer Vision Engineers apply algorithms to interpret visual data, working mainly in tech companies on applications like image recognition and autonomous systems. Both roles require strong technical skills, but their industry applications and research focus differ significantly.

What is a computer graphics PhD?

A Computer Graphics PhD is an advanced academic degree focused on the study and development of algorithms, systems, and techniques for generating and manipulating visual content using computers. This degree typically involves original research in areas such as rendering, animation, visualization, virtual reality, and human-computer interaction. Graduates often pursue careers in academia, research labs, or industry roles that require deep expertise in computer graphics and related fields.
What are popular job titles related to Computer Graphics Phd jobs in Illinois? For Computer Graphics Phd jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Computer Graphics Phd jobs in Illinois look for? The top searched job categories for Computer Graphics Phd jobs in Illinois are:
What cities in Illinois are hiring for Computer Graphics Phd jobs? Cities in Illinois with the most Computer Graphics Phd job openings:
Computer Graphics Phd jobs near you

Senior System Software Engineer

Nvidia

Champaign, IL

$122K - $161K/yr

Full-time

Re-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

7th of 243 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.

NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes.

What you'll be doing:

  • Enable C++ native execution of Spark operations on CUDA

  • Develop CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON

  • Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale

  • Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions

  • Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy

  • Build, test and optimize across different platforms

What we need to see:

  • 9+ years of experience in software development

  • 5+ years hands on experience with data platform development

  • BS/MS/PhD in computer science or a related field (or equivalent experience)

  • Proficiency in C++, Java, Scala

  • Experience supporting enterprise customers

  • Familiarity with the open source data platform ecosystem is a plus (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.)

  • Experience using AI tools in software development

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 14, 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

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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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