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3D Scientific Visualization Jobs (NOW HIRING)

CXC

Full Stack Engineer - 3D Modeling

Plano, TX · On-site

This role combines modern full-stack software engineering with advanced 3D visualization ... Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent ...

Relu

WI · On-site

$80 - $100/hr

Experience with 3D graphics on the web (Three.js / WebGL), meshes, or medical/scientific visualization. * Familiarity with cloud infrastructure and DevOps (AWS, CloudFront, CI/CD, observability ...

Esri

QA Engineer II - Visualization

Redlands, CA · On-site

This team applies their passion for data visualization in 2D and 3D to help bring foundational ... Bachelor's degree in computer science, computer engineering, or a related field Recommended ...

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3d Scientific Visualization information

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How much do 3d scientific visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 3d scientific visualization in the United States is $62,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is 3D scientific visualization?

3D scientific visualization is the process of creating three-dimensional representations of scientific data to help researchers, scientists, and engineers better understand complex phenomena. It involves using specialized software and techniques to transform raw data—such as from simulations, experiments, or measurements—into visual models that can be explored and analyzed. This approach is widely used in fields like biology, physics, engineering, and medicine to reveal patterns, trends, and insights that might not be apparent in raw numerical data. The goal is to make complex information more accessible and interpretable for both experts and non-experts.

What are the typical collaboration dynamics between 3D scientific visualization specialists and research teams?

3D Scientific Visualization specialists often work closely with scientists, engineers, and data analysts to accurately interpret and visually represent complex datasets. Collaboration usually involves regular meetings to discuss project goals, data requirements, and visualization techniques, ensuring scientific accuracy and clear communication. Close teamwork ensures that visual outputs not only meet technical standards but also effectively communicate findings to both expert and non-expert audiences. This collaborative environment encourages continuous learning and often leads to the development of innovative visualization solutions.

What are the key skills and qualifications needed to thrive as a 3D scientific visualization specialist, and why are they important?

To thrive as a 3D Scientific Visualization Specialist, you need a solid background in scientific disciplines, proficiency in computer graphics, and a relevant degree such as computer science or biology. Familiarity with visualization tools like ParaView, VMD, Blender, or Python-based libraries, as well as skills in data analysis and 3D modeling, are commonly required. Creativity, attention to detail, and strong communication skills help translate complex data into clear, visually compelling representations for diverse audiences. These skills are crucial for accurately conveying scientific information and supporting research, decision-making, and education.
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3d Scientific Visualization jobs near you
Infographic showing various 3D Scientific Visualization job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $62,056 per year, or $29.8 per hour.

Staff Software Engineer, 3D & Data Visualization Tools

San Diego, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 29 days ago

Job description

Waymo's central platform and product for visual debugging, telemetry, and triage provides teams across the company (including Perception, Behavior, and Simulation) with 3D and data visualization tools, using a C++ and TypeScript framework to integrate domain-specific visualizations into a single tool. The backend processes and streams 4D (3D + time) time-series logs, real-time telemetry, and simulation data. In this L6 role, you will own the C++ server infrastructure and concurrent data streaming pipelines. You will design C++ abstractions to load and process fleet logs, optimize Borg and RPC performance, and build APIs that let engineers and automated evaluation pipelines analyze driving data.

You will:        
   Build and maintain concurrent C++ backend services (Borg/Boq RPC servers) that stream time-series and sensor data to the client.    
   Scale C++ data delivery abstractions for offboard storage (CNS, Spanner) and WebRTC streams.    
   Optimize latency and throughput using log-sampling, payload post-processing (deduplication, timeline merging), and async C++ services.    
   Build backend APIs for automated callers (triage bots, evaluation executors) to render driving scenes.    
   Plan technical roadmaps and own the scaling, security, and performance isolation of the offboard data infrastructure.    
   Mentor engineers, review system designs, and establish systems-level C++ best practices.    
You have:        
   Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.    
   5 years of software development experience in C++.    
   Experience with systems programming, including multi-threading, concurrency, memory efficiency, and profiling.    
   Experience building high-throughput distributed systems, RPC services, or time-series data pipelines.    
   Experience leading technical designs and mentoring engineers on complex, multi-quarter projects.    
We prefer:        
   Experience with Google-internal infrastructure (Borg, Boq, Stubby/gRPC, CNS, and Spanner).    
   Experience developing backend systems for video/image rendering, WebRTC, or developer tools.    
   Familiarity with autonomous vehicle data formats (RoadGraph, sensor logs, and trajectory prediction outputs).    
   Familiarity with web client architectures (Angular, TypeScript) to design client-server APIs.    
   Experience with TDD, performance profiling, and integration testing.    

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