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Voxel Jobs (NOW HIRING)

Tamus

Postdoctoral Research Associate

Bryan, TX · On-site

$5.4K/mo

Ability to perform seed-to-voxel and voxel-to-voxel functional fMRI connectivity analysis with AFNI, CONN, and SPM. * Familiarity with low-intensity focused ultrasound modeling to establish actual ...

Vinci AI

Physics Applications - Researcher

Palo Alto, CA · On-site

$190K - $260K/yr

Running billion-voxel inference in production * Tier-1 semiconductor and hardware customers * Operating across multiple physical scales and operator regimes We are scaling deployment at industrial ...

NxT Level

Senior Tools Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

Knowledge of Voxel Systems * Previous work on MMO or large-scale open-world games. * Contributions to open-source game development projects or personal game projects. * Experience with cross-platform ...

Vinci AI

Backend Infrastructure Engineer

Palo Alto, CA · On-site

$165K - $180K/yr

Running billion-voxel inference in production * Tier-1 semiconductor and hardware customers * Operating across multiple physical scales and operator regimes We are scaling deployment at industrial ...

NxT Level

Senior Tools Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Knowledge of Voxel Systems * Previous work on MMO or large-scale open-world games. * Contributions to open-source game development projects or personal game projects. * Experience with cross-platform ...

FieldAI

Senior Software Engineer, 3D Computer Vision

Irvine, CA · On-site

$129K - $171K/yr

... voxel grids) • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres • Familiarity with common 3D data formats (PCD, PLY, E57, LAS) • Strong problem-solving skills and ability ...

General Atomics

Perception Engineer

Poway, CA · On-site

Spatiotemporal voxel grids / occupancy & belief fields * Confidence, decay, and provenance tracking * Implement deterministic fusion + perception infrastructure: * Sensor synchronization, buffering ...

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Showing results 21-40

All JobsVoxel Jobs

Voxel information

See salary details

$22K

$127.2K

$178.5K

How much do voxel jobs pay per year?

As of Sep 13, 2026, the average yearly pay for voxel in the United States is $127,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a voxel?

A voxel, short for 'volume pixel,' is a unit of graphic information that represents a value in three-dimensional space, similar to how a pixel represents data in two dimensions. Voxels are commonly used in 3D modeling, medical imaging, and game development to create detailed volumetric representations of objects or environments. Unlike traditional 3D models built from polygons, voxel-based models are made up of tiny cubes, which allows for complex structures and easy manipulation of volume data. This makes voxels particularly useful for applications that require accurate representation of internal structures, such as CT scans or destructible environments in video games.

What are the key skills and qualifications needed to thrive as a voxel artist?

To thrive as a Voxel Artist, you need strong skills in 3D modeling, digital art, and a solid understanding of color theory and design principles, often supported by a relevant art or design degree. Familiarity with voxel art software such as MagicaVoxel, Blender, or Unity, and knowledge of game engines are typically required. Creativity, attention to detail, and effective communication help an artist collaborate with teams and deliver visually appealing assets. These abilities are crucial for producing high-quality voxel art that enhances user experiences in games and digital media.

What are some common challenges faced by voxel artists when collaborating with game developers or animators?

Voxel artists often work closely with game developers and animators to ensure that their 3D pixel-based art integrates seamlessly into a project. A common challenge is balancing artistic vision with technical constraints such as polygon limits, texture sizes, and performance optimization. Communication is key, as Voxel artists must translate feedback from developers into efficient design adjustments while maintaining the intended aesthetic. Adapting to different workflows and software tools is also essential, as teams may use various platforms for modeling, rigging, and animation.

What is the difference between Voxel vs 3D Modeler?

AspectVoxel3D Modeler
Required CredentialsTypically a degree or certification in 3D modeling, digital art, or related fieldsTypically a degree or certification in 3D modeling, digital art, or related fields
Work EnvironmentDesign studios, gaming companies, virtual reality firmsAnimation studios, gaming companies, film production
Industry UsageUsed in game design, virtual worlds, and 3D visualizationUsed in animation, game development, film
Common Search/ComparisonYesYes

Both Voxel and 3D Modeler roles involve creating digital 3D assets, but Voxel focuses on volumetric pixel-based models often used in gaming and virtual environments, while 3D Modelers create surface-based models for animation, film, and detailed visualizations. Understanding these differences helps in choosing the right career path or job search focus.

What cities are hiring for Voxel jobs?

Cities with the most Voxel job openings:

What states have the most Voxel jobs?

States with the most job openings for Voxel jobs include:

What job categories do people searching Voxel jobs look for?

The top searched job categories for Voxel jobs are:

Voxel jobs near you
Infographic showing various Voxel job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, and 98% Full Time. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $127,228 per year, or $61.2 per hour.

Systems Engineer - Simulation Correctness

Palo Alto, CA • On-site

Vinci AI
See more jobs at Vinci AIexternal

$190K - $250K/yr

Full-time

Re-posted 4 days ago

Job description

The Mission
At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads.
  • Trained on PetaBytes of structured physics data
  • Running billion-voxel inference in production
  • Tier-1 semiconductor and hardware customers
  • Operating across multiple physical scales and operator regimes

We are scaling deployment at industrial magnitude:
  • Increase simulation throughput by two orders of magnitude
  • Expand simulation capabilities to maximize utility and domain coverage
  • Support global, multi-entity deployment across Tier-1 ecosystems

Our ambition is to become the default operator intelligence layer that hardware companies run on.
Design the Software that Designs Hardware
Integrating Machine Learning with Classic Numerical approaches results in a solution that is better than the sum of its parts. This method reduces the complexity of physics simulations, making them easier to setup, run and evaluate quickly. This combination of ease of use, speed and accuracy is the core of our value proposition to customers.
What You Will Do
Your north star will be the guaranteed (empirical) validation of simulation systems.
In this role you will use and evaluate the cutting edge solutions developed by our Machine Learning and Solver teams. Ensure that our customers receive the highest value results by building a runtime evaluation mechanism. Develop a compelling data driven argument for this mechanism. Work with software engineers to implement your designs and demonstrate validity.
You will sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts. You are comfortable working with deep technical experts and bringing your own expertise to bear.
What We're Looking For
Qualifications;
  • Prior experience using or building physics simulators
    • FEM, FEA, Molecular Dynamics, FDTD
  • Experience as a systems engineer in a production environment
    • working with Scientists and Engineers in a collaborative setting
  • Basic understanding of solver mechanisms;
    • Numerical Optimization, Convergence Criteria, Dampening approaches
  • Working knowledge of ML basics
    • back prop, loss functions, generators, embeddings, transformer models
  • Understanding of statistics and data science methods
    • Confidence intervals, uncertainty quantification, Bayes method

We are very excited to talk with you if you have
  • Worked as a Systems Engineer for a production Software Solution in any of;
    • Robotics, Chip Manufacturing, Aerospace
  • Have leveraged simulation for design or data generation purposes.
  • Have experience delivering solutions when needed
  • Have worked on validation solutions for a production ML system

Engineering Expectations
  • Software engineering fundamentals
    • Understanding of CI, regression testing, and validation discipline
  • Excellent communication and documentation skills
  • Comfortable running thousands of simulations and finding a needle in the haystack failure.
  • Capable of defining an architecture with sufficient detail an Engineer could implement it with few open questions.

Why Vinci
Join a rare early-stage startup that has successfully moved a foundational product from research to real-world, production environments, already serving Tier-1 semiconductor and hardware customers.
Our Mission & Impact
Vinci is building the operator intelligence infrastructure that modern hardware programs rely on daily. We are scaling our solution to accelerate design validation from hours to seconds. You will contribute to expanding our unified model architecture, which currently runs billion-voxel inference, into the transient domain-a key frontier in modeling interactions, deformation, and dynamics. Our ambition is to become the default operator intelligence layer for hardware companies.
Growth & Opportunity
This is a unique opportunity to be the first Systems Engineer in a burgeoning space and to build a practice and team around you. You will work with a premiere physics simulation tool-a proven foundation model capable of billion-voxel inference-that is scaling deployment across Tier-1 ecosystems. Our ambition is for this technology to become the default operator intelligence layer for hardware companies.
Leadership
You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver grade accuracy.

Apply