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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

$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, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

Required : • Masters or PhD degree in Computer Science, Computer Engineering, or related field ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · Hybrid

$161K - $218K/yr

The Mali™ Graphics Processor is the #1 shipping GPU. What you could be doing as a Graduate GPU ... Hold (or are on track to hold) a PhD degree or equivalent experience in Computer Science, Computer ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · On-site

$161K - $218K/yr

The Mali™ Graphics Processor is the #1 shipping GPU. What you could be doing as a Graduate GPU ... Hold (or are on track to hold) a PhD degree or equivalent experience in Computer Science, Computer ...

NVIDIA

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field (or ... PyTorch, JAX etc) • Strong python and C/C++ programming skills Preferred : • MS or PhD 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 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
Senior Performance Architect - Heterogeneous Workload Optimization

Senior Performance Architect - Heterogeneous Workload Optimization

Nvidia

Austin, TX • Hybrid

$165K/yr

Full-time

Posted 14 days ago

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.

As EDA workloads transition from traditional CPU-bound tasks to massively parallel GPU-accelerated engines, the complexity of identifying bottlenecks has scaled exponentially. We are seeking a Senior Systems Performance Engineer to build our next generation of profiling infrastructure. You will be responsible for measuring, analyzing, and optimizing the interaction between extensive design graphs in system memory and high-throughput kernels on the GPU. Join us to push the boundaries of what's possible in the future of computing!

What you'll be doing:

  • Architecting and maintaining custom profiling frameworks that provide a unified view of execution across CPU (multi-core/multi-socket) and GPU (multi-node/NVLink) environments.

  • Conducting deep-dive benchmarking of EDA applications to characterize memory access patterns, cache hit rates, and instruction-level parallelism.

  • Using GPU profilers to detect GPU-side inefficiencies such as warp divergence, sub-optimal occupancy, and PCIe/NVLink bottlenecks.

  • Developing tools to monitor and attribute high-watermark memory usage in multi-terabyte EDA builds, finding opportunities for data structure compression or smarter memory pooling.

  • Developing predictive models to guide hardware procurement and cloud instance selection based on built gate-count and algorithmic complexity.

What we need to see:

  • A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls.

  • Extensive knowledge of profiling tools such as perf, eBPF, VTune, or Valgrind, along with insight into their internal mechanisms.

  • A passion for meticulous benchmarking and the ability to distill sophisticated performance data into actionable engineering roadmaps.

  • Experience with distributed compute environments (Slurm, LSF, or Kubernetes).

  • A BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with more than 8+yrs of relevent experience and at least 5 years involved in systems-level performance analysis.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 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 February 16, 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.
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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