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Remote Gaussian Splatting Jobs in California (NOW HIRING)

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site +1

$189K - $290K/yr

... g.,NeRF, Gaussian Splatting,world models,diffusion-based generation). * Hands-on experience ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

Remote Gaussian Splatting information

What is a remote gaussian splatting?

A Remote Gaussian Splatting job involves working with advanced computer graphics techniques, specifically those related to the rendering method known as Gaussian Splatting. This technique is used to efficiently render 3D scenes by representing objects as a set of Gaussian functions, enabling real-time and high-quality visualization. In a remote role, professionals typically focus on algorithm development, optimization, and integration for various applications such as gaming, virtual reality, and scientific visualization. The job may require collaboration with teams across different locations and a solid background in computer graphics, mathematics, or related fields.

What are the key skills and qualifications needed to thrive as a remote gaussian splatting engineer?

To thrive as a Remote Gaussian Splatting Engineer, you need a strong background in computer graphics, mathematics, and programming, often supported by a degree in computer science or a related field. Familiarity with tools like Python, C++, CUDA, and graphics libraries such as OpenGL or Vulkan, as well as experience with 3D rendering engines, is typically required. Excellent problem-solving, remote collaboration, and communication skills are vital for effective teamwork and project delivery in a distributed environment. These competencies ensure the development of efficient, cutting-edge visualization techniques and successful integration within remote engineering teams.

What are the common challenges faced when working as a remote gaussian splatting engineer, and how can they be addressed?

As a Remote Gaussian Splatting Engineer, one of the main challenges is ensuring efficient communication and coordination with distributed team members, as real-time rendering tasks often require close collaboration. Additionally, managing large datasets and optimizing algorithms for performance across different hardware can be demanding. To address these, it's important to leverage robust project management tools, maintain clear documentation, and participate in regular virtual meetings. Continuous learning and staying updated with advancements in computer graphics also help in overcoming technical obstacles.

What is the difference between Remote Gaussian Splatting vs Remote 3D Rendering Specialist?

AspectRemote Gaussian SplattingRemote 3D Rendering Specialist
Required CredentialsKnowledge of computer graphics, programming, and data processingProficiency in 3D modeling, rendering software, and graphics pipelines
Work EnvironmentPrimarily remote, focused on data processing and algorithm developmentRemote or on-site, involving visualization and rendering tasks
Industry UsageUsed in computer graphics, AI, and visualization fieldsCommon in media, entertainment, and design industries

While both roles involve computer graphics and visualization, Remote Gaussian Splatting focuses on data processing and algorithm development for rendering techniques, whereas Remote 3D Rendering Specialists primarily handle visualization, modeling, and rendering tasks for media and design projects.

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

The most popular types of Gaussian Splatting jobs in California are:

What job categories do people searching Remote Gaussian Splatting jobs in California look for?

The top searched job categories for Remote Gaussian Splatting jobs in California are:

What cities in California are hiring for Remote Gaussian Splatting jobs?

Cities in California with the most Remote Gaussian Splatting job openings:

Infographic showing various Remote Gaussian Splatting job openings in California as of August 2026, with employment types broken down into 1% Internship, 47% Full Time, 50% Part Time, and 2% Contract. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution.

Research Engineer - 3D Vision and Generation, Self-Driving

Applied Intuition

Sunnyvale, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Research Engineer

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. The company is headquartered in Sunnyvale, California, with offices in multiple locations worldwide.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the Role and Team

We are looking for a passionate Research Engineer to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions.

Supported by industry-leading tools and infrastructure, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity.

At Applied Intuition, You Will:

  • Conduct research on 3D vision related topics including 3D foundation model, multi-modal pretraining, Gaussian splatting, world foundation model with applications to autonomous driving
  • Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
  • Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

We're Looking For Someone Who Has:

  • Hands-on experience in at least one of the following fields:
    • 3D reconstruction with Gaussian splatting
    • 3D / multi-modal foundation model and its pretraining
    • World foundation model and video generation
    • 3D/multi-view end-to-end models for autonomous driving or robotics
  • Passion for next-generation, scalable autonomy and robotics for real-world systems
  • Strong engineering and research skills and the ability to work both independently and collaboratively on projects
  • Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Nice To Have:

  • Industry experience on relevant topics (self-driving application preferred)
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • Passion for building and shipping customer-focused software frameworks or tool

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference.

These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.

These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.