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Computer Graphics Phd Jobs in Texas (NOW HIRING)

Nvidia

Senior Compiler Engineer - AI

Austin, TX

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience ...

Nvidia

Senior Software Engineer, AI Networking

Austin, TX

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering ...

Nvidia

Senior Software Engineer, AI Networking

Austin, TX · On-site

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering ...

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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 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 Texas? For Computer Graphics Phd jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Graphics Phd jobs in Texas look for? The top searched job categories for Computer Graphics Phd jobs in Texas are:
What cities in Texas are hiring for Computer Graphics Phd jobs? Cities in Texas with the most Computer Graphics Phd job openings:
Computer Graphics Phd jobs near you
ASIC Design Engineer - Hardware

ASIC Design Engineer - Hardware

Nvidia Corporation

Austin, TX • On-site

Full-time

Re-posted 5 days ago

Job description

Join the NVIDIA System-On-Chip (SOC) group as an ASIC Design Engineer and make a broad impact. You will focus on improving methodologies and delivering system-level IP to measure performance across multiple projects!
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!
What you'll be doing:
  • Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs
  • Define, develop, and automate flows and methodologies to efficiently build, deliver, and support a system-level IP
  • Deliver IP and support projects by applying the performance monitoring system
  • Run and debug RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more)
  • Design and implement RTL features (microarchitecture and RTL)
  • Work with architects, designers, and software engineers to accomplish your tasks

What we need to see:
  • BS or equivalent experience in Electrical Engineering, Computer Engineer, or related degree required, advanced degrees (MS, PhD) a plus
  • 2+ years of relevant industry experience and strong coding skills in Perl/Python or other industry-standard scripting languages
  • Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chip design/implementation flow, and design automation
  • Good understanding of SOC architecture, including CDC, multiple-power domains, performance analysis, latency, and data flow
  • Excellent debugging and analytical skills
  • Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)
  • Great communication and collaboration skills to interact within the team and with cross-functional teams

Ways to stand out from the crowd:
  • Hands on experience in object-oriented programming
  • Prior design on system level IP (Clocks/DFT/Resets)
  • Experience developing methodologies used by others
  • Hands- on silicon debug is a plus.
  • Exposure to physical design

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 10, 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 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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