The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · On-site
$9.8K/wk
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · On-site
$9.8K/wk
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering ...
Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering ...
Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering ...
Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering ...
Engineer, Senior - Job ID: 8425
San Diego, CA · On-site
$148K - $183K/yr
Contractor - Graphics Software Engineer (Dynamic Gaussian Splatting, On-Device XR, Android) Job Overview We are seeking a contractor Graphics Software Engineer to support development of real-time ...
Engineer, Senior - Job ID: 8425
San Diego, CA · On-site
$148K - $183K/yr
Contractor - Graphics Software Engineer (Dynamic Gaussian Splatting, On-Device XR, Android) Job Overview We are seeking a contractor Graphics Software Engineer to support development of real-time ...
Technical Lead, Computer Vision
San Francisco, CA · On-site
$256K - $315K/yr
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 ...
Technical Lead, Computer Vision
San Francisco, CA · On-site
$256K - $315K/yr
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 ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · Hybrid
$138K/yr
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · Hybrid
$138K/yr
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Responsibilities : • Build beautiful maps by fusing multi-modal sensor data (LiDAR, IMU, Camera). • Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats ...
Responsibilities : • Build beautiful maps by fusing multi-modal sensor data (LiDAR, IMU, Camera). • Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · On-site
$138K/yr
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA · On-site
$138K/yr
Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ ...
Responsibilities : • Build beautiful maps by fusing multi-modal sensor data (LiDAR, IMU, Camera). • Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats ...
Responsibilities : • Build beautiful maps by fusing multi-modal sensor data (LiDAR, IMU, Camera). • Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats ...
Implement 3D scene representations using cutting-edge techniques such as 3D Gaussian Splatting, NeRFs, and other neural or volumetric methods * Integrate localization and mapping modules with motion ...
Implement 3D scene representations using cutting-edge techniques such as 3D Gaussian Splatting, NeRFs, and other neural or volumetric methods * Integrate localization and mapping modules with motion ...
Perception Engineer (State Estimation & Mapping)
Sunnyvale, CA · On-site
$150K - $300K/yr
Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats). * Craft powerful visualization tools in order to introspect and tune algorithms. * Profile and optimize ...
Perception Engineer (State Estimation & Mapping)
Sunnyvale, CA · On-site
$150K - $300K/yr
Capture the world with state-of-the-art 3D reconstruction techniques (SDFs, gaussian splats). * Craft powerful visualization tools in order to introspect and tune algorithms. * Profile and optimize ...
Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...
Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...
Software Developer II - Indoor GIS AI and Reality
Redlands, CA · On-site
$101K - $167K/yr
Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...
Software Developer II - Indoor GIS AI and Reality
Redlands, CA · On-site
$101K - $167K/yr
Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...
Simulation Engineer
San Francisco, CA · Remote
Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence over both what we build and how we build it. Key Responsibilities
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Simulation Engineer
San Francisco, CA · Remote
Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence over both what we build and how we build it. Key Responsibilities
Senior Computer Vision Engineer (Reconstruction)
San Francisco, CA · On-site
$189K - $255K/yr
Design, develop, and maintain production-grade Computer Vision systems that power Niantic Spatial's 3D Gaussian Splatting, Meshing and 3D mapping pipelines. * Algorithmic Innovation: Refine and scale ...
Senior Computer Vision Engineer (Reconstruction)
San Francisco, CA · On-site
$189K - $255K/yr
Design, develop, and maintain production-grade Computer Vision systems that power Niantic Spatial's 3D Gaussian Splatting, Meshing and 3D mapping pipelines. * Algorithmic Innovation: Refine and scale ...
Gaussian information
What is the difference between Gaussian vs Chemist?
| Aspect | Gaussian | Chemist |
|---|---|---|
| Required Credentials | Typically a degree in chemistry, chemical engineering, or related field; familiarity with computational chemistry software | Degree in chemistry or related field; may include certifications in laboratory techniques |
| Work Environment | Research labs, computational centers, pharmaceutical or chemical industries | Laboratories, research institutions, manufacturing plants |
| Industry Usage | Used for quantum chemical calculations, molecular modeling, and simulations | Involved in experimental research, synthesis, and analysis |
Gaussian is a software tool used primarily for computational chemistry and molecular modeling, while a Chemist is a professional who conducts experiments and research in chemistry. Both roles often require similar educational backgrounds, but Gaussian focuses on software-based analysis, whereas Chemists work hands-on in labs. Understanding these differences helps clarify career paths and job expectations in the chemistry industry.
What is a Gaussian job?
A Gaussian job refers to a computational task performed using the Gaussian software, which is widely used for quantum chemistry calculations. It involves preparing an input file that specifies molecular structures, computational methods, and basis sets. The software then calculates electronic structure properties, optimizing geometries, and predicting spectroscopic and thermodynamic properties. Researchers and chemists use Gaussian for simulations in fields like materials science, drug discovery, and theoretical chemistry.
What types of projects do professionals working with Gaussian software typically collaborate on, and how is teamwork structured?
Professionals using Gaussian software, such as computational chemists and researchers, often collaborate on research projects involving molecular modeling, drug design, or materials science. Teamwork is typically interdisciplinary, bringing together chemists, physicists, and computer scientists to analyze and interpret complex data. Collaboration often involves sharing computational results, troubleshooting simulations, and jointly developing new methodologies. Communication is key, and teams may use version control systems and regular meetings to ensure project alignment and progress.
What are Gaussian jobs?
Gaussian jobs refer to computational tasks performed using Gaussian, a widely-used software suite for electronic structure modeling. Scientists and researchers use Gaussian to predict the energies, molecular structures, and properties of molecules and reactions. These jobs involve running calculations that simulate chemical phenomena, often requiring input files that describe the system and the type of computation. Gaussian is essential in computational chemistry, drug design, and materials science for its ability to model complex molecular systems.
What are the most commonly searched types of Gaussian jobs in California? The most popular types of Gaussian jobs in California are:
What are popular job titles related to Gaussian jobs in California? For Gaussian jobs in California, the most frequently searched job titles are:
What job categories do people searching Gaussian jobs in California look for? The top searched job categories for Gaussian jobs in California are:
What cities in California are hiring for Gaussian jobs? Cities in California with the most Gaussian job openings:
$110/hr
Full-time, Internship
Medical, Life, Retirement, PTO
Posted 3 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
68th of 75 rated media
Job description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Role
Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system.
During the internship, you will:
Who Are You?
Nice to Have:
To learn more about our team, check out some of our tech blogs:
Internships at Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to mimic what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
Internships are paid and are a minimum of 12 weeks,. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for Netflix Internships is typically $40/hour - $110/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
The Role
Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system.
During the internship, you will:
- Explore GS model compression strategies using open datasets
- Contribute to early thinking on additional dataset needs for representative scenes.
- Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets
- Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency
- Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest
Who Are You?
- Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with an expected graduation date in June 2027 or later.
- Thrives working in complex, dynamic, and fast-moving environments.
- Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.).
- Successful track record in research of 3D/4D scene reconstruction, novel-view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision.
- Solid understanding of machine learning and deep learning concepts, with hands-on experience training and evaluating ML models.
- Able to program fluently in Python
Nice to Have:
- Familiarity with real-time rendering and GPU programming (CUDA, WebGL, graphics pipelines).
- Background in video compression, streaming systems, or codec standards such as HEVC and AV1.
- Involvement in open-source multimedia or graphics projects.
- Experience with large-scale distributed systems and cloud computing.
To learn more about our team, check out some of our tech blogs:
- https://netflixtechblog.com/av1-now-powering-30-of-netflix-streaming-02f592242d80
- https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b
- https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c
- https://netflixtechblog.com/toward-a-practical-perceptual-video-quality-metric-653f208b9652
- https://netflixtechblog.com/per-title-encode-optimization-7e99442b62a2
Internships at Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to mimic what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
Internships are paid and are a minimum of 12 weeks,. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for Netflix Internships is typically $40/hour - $110/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997