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Full Time Gaussian Splatting Jobs (NOW HIRING)

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy and safety teams to ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

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Full Time Gaussian Splatting information

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$37.5K

$122.7K

$196.5K

How much do full time gaussian splatting jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time gaussian splatting in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a full time Gaussian splatting?

A Full Time Gaussian Splatting job typically refers to a position focused on developing or applying Gaussian Splatting techniques, which are used in computer graphics and computer vision for rendering 3D scenes or reconstructing neural representations. Employees in these roles often work with algorithms that use Gaussian functions to efficiently synthesize photorealistic images or accelerate rendering processes. The job may involve research, software development, or implementation of advanced graphics pipelines, often in industries such as gaming, animation, or virtual/augmented reality. Full time positions usually require a background in computer science, mathematics, or a related field, as well as experience with graphics programming and machine learning.

What are the key skills and qualifications needed to thrive as a 3D graphics engineer specializing in Gaussian splatting?

To thrive as a 3D Graphics Engineer specializing in Gaussian Splatting, you need a strong background in computer graphics, mathematics, and programming, typically requiring a degree in computer science or related field. Experience with tools and languages such as C++, Python, OpenGL/Vulkan, and knowledge of rendering algorithms and machine learning frameworks is important. Strong analytical thinking, problem-solving abilities, and effective collaboration set standout professionals apart. These skills ensure accurate, efficient implementation of advanced graphics techniques and successful integration into real-time or offline rendering pipelines.

What are some common challenges faced by professionals working full time with Gaussian splatting techniques, and how can they be addressed?

Professionals working full-time with Gaussian Splatting techniques often encounter challenges related to computational efficiency and the integration of these methods into existing rendering pipelines. Managing large datasets while maintaining real-time performance can be demanding, particularly when optimizing for both visual quality and speed. Collaboration with graphics engineers, machine learning specialists, and artists is frequent, as solutions often require a balance between technical innovation and practical usability. Staying current with the latest research and leveraging open-source tools or community forums can help address these challenges effectively.

What is the difference between Full Time Gaussian Splatting vs 3D Rendering Artist?

AspectFull Time Gaussian Splatting3D Rendering Artist
Required CredentialsKnowledge of computer graphics, programming, and rendering techniquesProficiency in 3D modeling and rendering software, often with a degree in art or design
Work EnvironmentTechnical teams, research labs, or software companiesCreative studios, advertising agencies, or entertainment industry
Industry UsagePrimarily in computer graphics research, visualization, and advanced rendering techniquesIn film, gaming, and visual effects production

Full Time Gaussian Splatting focuses on advanced rendering techniques using mathematical models, often requiring programming skills. In contrast, 3D Rendering Artists emphasize artistic skills and software proficiency to create visual content. Both roles involve rendering but differ in technical depth and industry application.

More about Full Time Gaussian Splatting jobs

What cities are hiring for Full Time Gaussian Splatting jobs?

Cities with the most Full Time Gaussian Splatting job openings:

What are the most commonly searched types of Gaussian Splatting jobs?

The most popular types of Gaussian Splatting jobs are:

What states have the most Full Time Gaussian Splatting jobs?

States with the most job openings for Full Time Gaussian Splatting jobs include:

What job categories do people searching Full Time Gaussian Splatting jobs look for?

The top searched job categories for Full Time Gaussian Splatting jobs are:

Infographic showing various Full Time Gaussian Splatting job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 45% Full Time, 53% Part Time, and 1% Contract. Highlights an 38% Physical, 1% Hybrid, and 61% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior / Staff Research Engineer, Simulation Assets & Content Systems

Waabi

San Francisco, CA โ€ข On-site, Remote

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
  • Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.
  • Architect and own asset pipelines end-to-end: From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.
  • Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets, neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.
  • Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items - including search, similarity, lineage, and regression review.
  • Integrate cutting-edge research into the pipeline - collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.
  • Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.
Qualifications:
  • Shipping Production Software. You have experience reading and developing production-quality software at scale, not just prototypes. You have shipped systems that other engineers and researchers depend on day-to-day.
  • 3D Content Pipelines. You have built or extended large-scale 3D content pipelines - ingestion, processing, validation, versioning, and serving: for graphics, simulation, VFX, games, robotics, or AV. You understand the failure modes that emerge at tens of thousands of assets.
  • Modern 3D Representations. You are fluent across at least several of: traditional mesh/material/PBR, OpenUSD, NeRF, 3D Gaussian Splatting, and procedural/generative content. You understand the trade-offs between paradigms - fidelity, edit-ability, runtime cost, storage, interop, and can make pragmatic choices.
  • Cloud Infrastructure at Scale. Experience designing, launching, and debugging GPU jobs in the cloud (AWS, GCP, or equivalent), including job orchestration, cost modeling, and throughput optimization for batch and pipeline workloads.
  • Strong software engineering fundamentals. You write efficient and maintainable code in Python, as well as in at least one native systems language such as C++ or Rust

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.