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Remote Google 3D Jobs (NOW HIRING)

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Energy Analyst

Fairfax, VA · On-site +1

... 3D models, to produce a comprehensive summary of the energy efficiency of a home. THE ROLE Job ... This position is based in our main office in Fairfax, VA with the option of a hybrid remote/office ...

Media.Monks

$70K/yr

Proficient with Google Suite & knowledge of Adobe suite. * Willingness to travel. Notes: * LA-based ... Hybrid/remote work experience is required; Attendance will occasionally be mandatory for office ...

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How much do remote google 3d jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote google 3d in the United States is $78,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $98,000.00 per year, depending on experience, location, and employer.

How does a Remote Google 3D Specialist typically collaborate with cross-functional teams while working offsite?

As a Remote Google 3D Specialist, collaboration with cross-functional teams such as designers, engineers, and product managers is primarily conducted through digital tools like Google Meet, Slack, and shared project management platforms. Regular virtual meetings and asynchronous communication are key to staying aligned on project goals, timelines, and feedback. Building strong communication skills and proactively sharing updates help ensure that 3D assets integrate smoothly into larger projects. While remote, you are expected to be responsive, organized, and participate actively in team discussions to maintain workflow efficiency.

What is a Remote Google 3D job?

A Remote Google 3D job typically involves creating, modeling, or managing 3D content and experiences for Google products or services, such as Google Maps, Google Earth, or augmented reality applications. These roles can include 3D artists, modelers, software engineers, or UX designers who specialize in 3D technologies. Working remotely means that you perform these responsibilities from a location outside of a traditional Google office, using online collaboration tools and virtual communication. These positions require strong technical skills in 3D software, an understanding of Google's platforms, and the ability to work effectively within distributed teams.

What are the key skills and qualifications needed to thrive as a Remote Google 3D Specialist, and why are they important?

To excel as a Remote Google 3D Specialist, you need strong expertise in 3D modeling, spatial visualization, and digital design, usually backed by a degree in computer graphics, architecture, or a related field. Familiarity with tools such as Google Earth Studio, SketchUp, Blender, and GIS platforms, along with relevant certifications, is highly valuable. Excellent attention to detail, problem-solving abilities, and clear communication are vital soft skills for collaborating remotely and delivering high-quality visualizations. These competencies ensure accurate, visually compelling 3D content that meets client and project requirements in a remote work environment.
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Remote Google 3D jobs near you
Senior Systems Engineer, Cameras/Imaging [Remote]

Senior Systems Engineer, Cameras/Imaging [Remote]

DigitalFish, Inc

Sunnyvale, CA • Remote

$145K - $170K/yr

Full-time

Posted 13 days ago

Job description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.

We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. 


THE ROLE

As part of a small and dynamic team, you'll play a pivotal role in advancing imaging technology for camera capture while developing end-to-end high fidelity, high accuracy, and photo reality camera simulator. The scope of these projects will encompass collaborating with camera architects and other teams such as systems, optics, algorithm development and IQ team, to execute, validate and improve camera simulation for purposes like architecture validation and component down selection.
WHAT YOU'LL DO
  • Develop, validate, and execute state-of-the-art imaging software simulation tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products
  • Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non-sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products
  • Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
  • Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment
  • Develop and document camera test methodologies to support 2D/3D camera system performance analysis
  • Develop and debug test scripts for image data collection automation
  • Processing, analysis and organizing measurement data; presentation of initial analysis
  • Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations
WHO YOU ARE
  • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
  • Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
  • Experience and knowledge in developing and tuning Image Signal Processing (ISP) pipeline
  • Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
  • Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
  • Experience coding in MATLAB or Python
  • Hands on experience in the development of lab setups for camera system performance study
  • Experiences in camera calibration and modeling of imaging systems
  • Familiar with image sensor, imaging optics, and image processing algorithms
  • Ability to work with minimal direction and managing a project independently from start to finish
  • Proof of eligibility to work in the United States
COMPENSATION & BENEFITS
  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $145,000 to $170,000 plus equity (per qualifications)
  • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!
ADDITIONAL INFO

DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.

DigitalFish is not able to sponsor immigration petitions for this role at this time.

All applicants must have the right to work in the United States.

We look forward to hearing from you!

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.