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Senior Gaussian Splatting Jobs (NOW HIRING)

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer ... Gaussian Splatting). * Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or ...

Quidient

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Overview Quidient is seeking a Senior Offline Mapping Engineer to own and advance the accuracy and ... Expertise in neural scene representations (NeRF, Gaussian Splatting, or similar). * Experience with ...

Quid, Inc.

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175 - $230/hr

  • Medical

  • Life

  • Retirement

Overview Quidient is seeking a Senior Offline Mapping Engineer to own and advance the accuracy and ... Expertise in neural scene representations (NeRF, Gaussian Splatting, or similar). * Experience with ...

Quid, Inc.

Senior Offline Mapping Engineer

Washington, DC · On-site

$175 - $230/hr

  • Medical

  • Life

  • Retirement

Overview Quidient is seeking a Senior Offline Mapping Engineer to own and advance the accuracy and ... Expertise in neural scene representations (NeRF, Gaussian Splatting, or similar). * Experience with ...

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Senior Gaussian Splatting information

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$25K

$80.3K

$163.5K

How much do senior gaussian splatting jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior gaussian splatting in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Gaussian Splatting vs Data Scientist?

AspectSenior Gaussian SplattingData Scientist
Required CredentialsAdvanced knowledge in computer graphics, programming, and mathematical modelingDegree in statistics, computer science, or related field; often requires experience with data analysis tools
Work EnvironmentResearch labs, graphics development teams, or tech companies focusing on visualization and renderingBusiness, tech, or research settings analyzing data to inform decisions
Industry UsageGraphics, visualization, and computer graphics industriesTechnology, finance, healthcare, and marketing sectors
Common Search/ComparisonOften compared for technical skills and project focusCompared for data analysis and decision-making roles

While Senior Gaussian Splatting specializes in advanced rendering techniques and computer graphics, Data Scientists focus on analyzing data to extract insights. Both roles require strong technical skills, but they serve different industry needs and environments.

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Senior Gaussian Splatting jobs near you
Infographic showing various Senior Gaussian Splatting job openings in the United States as of August 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Software Engineer - VLM Microservices for Neural Reconstruction

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.
Are you fascinated by the latest developments in Vision Language Models and 3D reconstruction? We are looking for a driven Software Engineer to bring ground breaking models into NVIDIA's software ecosystem for neural graphics to improve its robustness and accuracy and enrich its capabilities. Your software will help bridge the gap between the real world and simulations. Join our amazing team and help us build the future of Physical AI!
What you'll be doing:
  • Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices)
  • Develop benchmarks to validate the models accuracy and performance (latency, throughput, scalability)
  • Release and maintain the models and their pipelines throughout their lifecycle (bug fixes, security patches)
  • Contribute VLM-related features to Open-Source projects like vLLM
  • Collaborate closely with Research and Product teams and influence our common roadmaps

What we need to see:
  • Master's of Science in Computer Science + 3 years, or Electrical Engineering, Bachelor of Science (or equivalent experience) + 5 years of experience.
  • History of building, validating and releasing production-grade AI distributed systems, backend services, microservices, and cloud technologies.
  • Deep technical expertise in distributed applications using Docker, Kubernetes, endpoints and their APIs (REST, gRPC), Helm.
  • Hands-on experience with modern inference platforms (vLLM, SGLang, Torch, TRT, TRT-LLM).
  • Proficiency with Python and C++.
  • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization).
  • Excellent written, visual, and verbal communication.
  • Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:
  • Track record contributing to open-source or production-grade software. Are you a vLLM contributor already?
  • Experience with ML model engineering: training, fine-tuning, distillation, quantization.
  • Experience with low-level optimization of ML models (CUDA kernels)
  • Strong fundamentals in 3D graphics, 3D computer vision or neural reconstruction (NERFs, Gaussian Splats).
  • History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 2, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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