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Computer Graphics Phd Jobs (NOW HIRING)

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

Preferred Qualifications MS or PhD in Computer Vision, Computer Graphics, Machine Learning, Computer Science, or related fields. Experience with human-centric 3D and 4D reconstruction approaches ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. At Apple, base pay is one part of our total compensation package and is ...

Apex Informatics

Software Engineer: Graphics - IV

$143K - $177K/yr

Required: • Education & Experience in Computer Science or related field with focus on graphics o ... PhD Degree with 2+ years of post-degree experience. • Deep understanding of raytracing and ...

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How much do computer graphics phd jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computer graphics phd in the United States is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $21.15 per hour, depending on experience, location, and employer.

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.
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Computer Graphics Phd jobs near you
Infographic showing various Computer Graphics Phd job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,000 per year, or $21.2 per hour.

CVML Engineer - 3D Reconstruction

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 22 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Video Computer Vision organization is building breakthrough technologies for future Apple products. Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that power human understanding and geometric reasoning for health and fitness features. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to solve fundamental challenges in human-centric 3D solutions that will impact millions of users across Apple's ecosystem.
Description
We are looking for a CVML Engineer with deep expertise in multi-view geometry and modern machine learning approaches, and a genuine passion for shipping product features. You will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness applications. You will design novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation, as well as develop robust, high-quality runtime algorithms for on-device deployment. You will collaborate with cross-functional teams to define requirements and validation frameworks, and deliver production-ready code optimized for Apple silicon and mobile devices.
Minimum Qualifications
BS degree in Computer Vision, Machine Learning, Computer Graphics, or related fields and a minimum of 3 years relevant industry experience
Hands on experience developing 3D and/or 4D computer vision algorithms and systems or equivalent
Deep understanding of multi-view geometry and 3D reconstruction pipelines.
Strong proficiency in Python and PyTorch with solid software engineering practices.
Solid mathematical foundation in linear algebra, optimization, and geometry processing.
Experience with modern ML architectures and their applications to 3D problems.
Excellent communication skills and proven ability to work effectively in cross-functional teams.
Self-motivated with a track record of prioritizing effectively and delivering on schedule.
Preferred Qualifications
MS or PhD in Computer Vision, Computer Graphics, Machine Learning, Computer Science, or related fields.
Experience with human-centric 3D and 4D reconstruction approaches, datasets, and evaluation methodology.
Background in differentiable optimization and geometric deep learning approaches.
Experience optimizing ML models for mobile deployment and resource-constrained environments.
Knowledge of SLAM, bundle adjustment, and photogrammetric reconstruction techniques.
Proficiency in C/C++.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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