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Gaussian Splatting Jobs (NOW HIRING)

Nvidia

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Nvidia

OR · On-site

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Avala

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

Develop cutting-edge solutions using NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM. * Mission-Critical Perception: Create robust 3D ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore applications in AR/VR and autonomy * Write Python tooling to convert annotation formats, validate label integrity, and ...

Umd

Post-Doctoral Associate

College Park, MD

$48K - $65K/yr

This postdoc will perform research on 3D scene reconstruction, novel view synthesis and inverse rendering, building on state of the art techniques such as neural radiance fields, Gaussian splatting ...

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Gaussian Splatting information

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$37.5K

$122.7K

$196.5K

How much do gaussian splatting jobs pay per year?

As of Jul 1, 2026, the average yearly pay for 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 Gaussian Splatting job?

A Gaussian Splatting job typically involves rendering 3D scenes using point-based representations with anisotropic Gaussians. This technique is used in graphics and visualization to efficiently approximate surfaces and lighting effects. Professionals in this role may work on optimizing algorithms, improving rendering quality, or integrating Gaussian splatting into real-time applications like games and simulations. Strong skills in computer graphics, math, and programming are often required.

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

To excel as a Gaussian Splatting specialist, candidates typically need a strong background in computer graphics, computational mathematics, and 3D rendering, often supported by an advanced degree in computer science, engineering, or a related field. Familiarity with programming languages such as C++, Python, and specialized graphics libraries (e.g., CUDA, OpenGL, Vulkan), as well as experience with neural rendering frameworks, is commonly required. Creative problem-solving, attention to detail, and strong collaboration skills are key soft attributes in this role. These skills are critical for developing efficient, high-quality neural rendering solutions and for integrating cutting-edge visualization techniques into real-time graphics pipelines.

What are the typical daily tasks of a Gaussian Splatting specialist within a visual computing team?

A Gaussian Splatting specialist typically spends their days designing and implementing algorithms for real-time neural scene rendering, testing rendering performance on various hardware, and troubleshooting graphical artifacts or efficiency bottlenecks. Their work often involves close collaboration with software engineers, 3D artists, and machine learning researchers to optimize the integration of splatting techniques into existing graphics pipelines. Regular responsibilities may also include participating in code reviews, contributing to technical documentation, and staying updated on the latest advancements in 3D rendering technology. This collaborative, dynamic environment offers the opportunity to work on visually impactful projects and influence cutting-edge visualization tools.

More about Gaussian Splatting jobs
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Gaussian Splatting jobs near you
Infographic showing various Gaussian Splatting job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 39% Full Time, 57% Part Time, and 2% Contract. Highlights an 40% Physical, and 60% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Technical Lead, Computer Vision

Niantic Spatial, Inc

San Francisco, CA • On-site

$256K - $315K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Translate research papers into production-grade features within the tech stack.

  • Lead the design and implementation of 3D reconstruction pipelines, including Structure from Motion and mesh generation.

  • Develop and optimize Gaussian Splatting quality algorithms and maintain high-performance production code.

Job description

At Niantic Spatial, we're building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction-laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.
As a Tech Lead for the Applied Computer Vision Algorithms Team, you'll help drive our "Reconstruct", "Understand" and "Localization" capabilities. This team is responsible for creating the high-fidelity visual and semantic maps-specifically textured, semantic meshes, and Gaussian Splats- as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.
Job Responsibilities
  • Applied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.
  • Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.
  • Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.
  • Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.
  • Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team's technical bar.
  • Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.
  • Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
Job Requirements
  • Years of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
  • Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.
  • Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.
  • Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.
  • Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.
  • Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.
  • Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.

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