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Intern Gaussian Splatting Jobs (NOW HIRING)

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Implement Next-Gen Tech: Apply state-of-the-art neural rendering and view-synthesis techniques, such as 3D Gaussian Splatting (3DGS) and NeRFs, to handle challenging real-world lighting, weather, and ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Implement Next-Gen Tech: Apply state-of-the-art neural rendering and view-synthesis techniques, such as 3D Gaussian Splatting (3DGS) and NeRFs, to handle challenging real-world lighting, weather, and ...

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Intern Gaussian Splatting information

What are the key skills and qualifications needed to thrive as an Intern in Gaussian Splatting, and why are they important?

To thrive as an Intern focused on Gaussian Splatting, you generally need a strong background in computer science, mathematics, and 3D graphics, often supported by coursework or projects in computer vision or graphics. Familiarity with programming languages like Python or C++, experience with machine learning frameworks (such as PyTorch or TensorFlow), and knowledge of 3D rendering systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute to research and collaborate within teams. These skills are crucial for efficiently implementing and evaluating advanced graphics algorithms in real-world or research-driven environments.

What types of projects and tools will I likely work with as an Intern in Gaussian Splatting, and how does this experience support future career opportunities in computer graphics or machine learning?

As an Intern in Gaussian Splatting, you can expect to work on projects involving novel rendering techniques, 3D reconstruction, and possibly neural representations of scenes. You'll likely use tools like Python, C++, and libraries such as PyTorch or TensorFlow for developing and testing algorithms, as well as visualization tools like OpenGL. This hands-on experience not only deepens your understanding of advanced graphics and machine learning methods but also prepares you for roles in research, computer vision, or graphics engineering. Additionally, you'll collaborate closely with researchers and engineers, gaining exposure to collaborative workflows and innovative problem-solving approaches.

What is the difference between Intern Gaussian Splatting vs Intern Data Analyst?

AspectIntern Gaussian SplattingIntern Data Analyst
Required CredentialsBasic knowledge of computer graphics, programming, and mathematicsBasic understanding of statistics, Excel, and data visualization tools
Work EnvironmentResearch labs, tech companies, or academic settings focused on graphics and visualizationBusiness, finance, or marketing departments analyzing data sets
Employer & Industry UsagePrimarily in computer graphics, visual effects, and research institutionsAcross industries like finance, healthcare, and marketing

Intern Gaussian Splatting focuses on visualizing and rendering techniques in graphics, requiring programming and mathematical skills. Intern Data Analyst involves analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are entry-level internships but serve different industry needs and skill sets.

What is an Intern Gaussian Splatting?

An Intern Gaussian Splatting is an internship position focused on working with Gaussian Splatting, a computer graphics technique used to render 3D scenes efficiently by representing them as a collection of Gaussian functions. Interns in this role typically assist in research, implementation, and optimization of algorithms related to this technology, often within the context of rendering, computer vision, or machine learning. This position provides hands-on experience in advanced graphics techniques, usually requiring knowledge of programming, mathematics, and sometimes machine learning frameworks. Interns may also contribute to academic papers, prototypes, or production tools depending on the organization's focus.
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Intern Gaussian Splatting jobs near you
Infographic showing various Intern Gaussian Splatting job openings in the United States as of May 2026, with employment types broken down into 85% Internship, 3% As Needed, 2% Full Time, and 10% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Summer Research Intern, 3D Gaussian Splatting

Summer Research Intern, 3D Gaussian Splatting

Ofinno

Reston, VA • On-site

Internship

Retirement, PTO

Posted 19 days ago

Job description

About Ofinno:
Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication and media standards. Our team's innovative work has led to significant contributions to technologies such as 5G cellular, Wi-Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world's leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.
Position Overview:
As a Summer Research Intern in the Advanced Media Lab, you will work alongside two senior engineers to jump-start Ofinno's 3DSDK software stack around 3D Gaussian Splatting (3DGS) coding. The 10-week, on-site summer internship is software-integration-first, with research-flavored work layered on top as time allows. You will integrate V-PCC and 3DGS preprocessing into ffmpeg, contribute to an initial encoder-plus-decoder tool chain, and ship reproducible code that the AML team can iterate on after you leave.
Key Responsibilities:
As a Summer Research Intern in 3D Gaussian Splatting, you will:
  • Integrate MPEG V-PCC into ffmpeg - encoder-side wrapper / filter / codec module, build-system integration, and test fixtures against reference content.
  • Implement a basic 3DGS preprocessing path in ffmpeg - a clean preprocessing utility that takes a reference Gaussian Splat asset and produces the input expected by the encoder.
  • Contribute to an initial encoder-plus-decoder tool chain - the decoder-side counterpart and the glue needed to run an end-to-end encode → decode round-trip on at least one reference asset.
  • Make integration-level design and trade-off calls - parameter defaults, container choices, color and colorspace handling, basic profiling and optimization.
  • Document and hand off the work - deliver a week-3 integration plan, a week-6 mid-program demo, and a final technical report plus handoff doc supporting FTE follow-on at week 10.
  • If time allows, pursue a scoped research-flavored exploration informed by integration learnings - e.g., a preprocessing variation, an RD trade-off study, or a profiling-driven optimization.

Qualifications:
Minimum:
  • Currently enrolled Ph.D. student (post-qualifying-exam) in EE / CS or related field - graphics, computer vision, signal processing, or systems.
  • Strong C / C++ - comfortable reading and modifying a non-trivial production codebase (ffmpeg, V-PCC reference implementation, or equivalent).
  • Python proficiency for tooling, scripting, and tests.
  • Familiarity with at least one of: video / point-cloud / 3DGS coding stacks; ffmpeg internals (libavcodec, libavformat, the filter API); build systems for large C / C++ projects.
  • Engineering judgment - willing to choose pragmatic integration paths over open-ended research detours, and to scope work to fit a 10-week window.
  • Strong written and verbal communication, including the ability to document design decisions, write a clear technical report, and present results to the team.
Preferred:
  • Prior experience touching a real codec or media pipeline - school project, open-source contribution, prior internship, or thesis work.
  • Exposure to 3D Gaussian Splatting, point-cloud compression, neural rendering, or learned image / video compression.
  • Comfortable with profiling tools (perf, VTune, gprof, or equivalent) and basic performance work on C / C++ codebases.
  • Familiarity with rate-distortion methodology and standard quality metrics.

What else you should know
Our people are our business. We know you have to see it to believe it, but here are some of the perks you can count on:
  • 401(K) matching - We help you plan and save for retirement with a 401(K) matching program that's available on day one.
  • Free healthcare plans - Ofinno covers full premiums for you and your family on select healthcare plans, including employer HSA contributions if applicable.
  • Free Food - Our kitchen is always fully stocked, including lunch, protein bars, fruit, sodas, coffee, and tea.
  • Unlimited Paid Time Off - Our lives are enriched by family time, vacations, and personal time. We offer unlimited paid time off and sick leave.
  • On-campus gym - Unwind, reduce stress and feel great - even when you're at work.
  • Other benefits, too long to list - Please discuss with our great People Ops team about additional benefits offered.

What Now?
What are you waiting for? We hope you will click on the link and forward your credentials to us today. All your information will be kept confidential according to EEO guidelines.

Apply