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Neural Rendering Jobs (NOW HIRING)

Nvidia

OR · On-site

These workloads push the limits of GPU computing, differentiable rendering, computer vision, and production ML systems. In this role, you will help make neural reconstruction faster, more scalable ...

NEC Labs

MA - Researcher

San Jose, CA

Our research areas include autonomous driving, embodied AI, multimodal LLM agents, vision-language models, neural rendering and open-world perception and planning. We have a strong internship program ...

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How much do neural rendering jobs pay per hour?

As of May 30, 2026, the average hourly pay for neural rendering in the United States is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Neural Rendering Engineer, and why are they important?

To thrive as a Neural Rendering Engineer, you need a strong background in computer graphics, deep learning, and mathematics, generally with a degree in computer science, electrical engineering, or a related field. Experience with frameworks like PyTorch or TensorFlow, GPU programming (CUDA), and familiarity with 3D rendering engines is highly valuable. Strong problem-solving skills, creativity, and effective teamwork set exceptional candidates apart in this role. These competencies are crucial for developing innovative rendering solutions that bridge artificial intelligence and visual computing, enabling breakthroughs in graphics technology.

What are some common challenges faced by professionals working in Neural Rendering, and how can they be addressed?

Professionals in Neural Rendering often encounter challenges related to computational resource demands and the integration of novel algorithms into existing graphics pipelines. Handling large datasets and optimizing neural network architectures for real-time performance can also be complex. Collaboration with cross-functional teams—such as graphics engineers, researchers, and product managers—is essential to ensure solutions are both technically feasible and aligned with project goals. Staying updated with the latest research and leveraging open-source frameworks can help address these challenges effectively.

What is neural rendering?

Neural rendering is a cutting-edge technique in computer graphics and artificial intelligence that uses neural networks to generate, manipulate, or enhance images and videos, often producing photorealistic or novel visual content. Unlike traditional rendering methods, which rely heavily on physical modeling and computational geometry, neural rendering leverages deep learning algorithms to synthesize visual data from inputs like 3D models, images, or text descriptions. This technology is used in applications such as virtual reality, gaming, special effects, and creating digital avatars. Neural rendering can significantly reduce the computational cost and time needed for high-quality image synthesis, making it a transformative tool in visual computing industries.

What is the difference between Neural Rendering vs 3D Graphics Programmer?

AspectNeural Rendering3D Graphics Programmer
Required SkillsMachine learning, neural networks, deep learning frameworksGraphics APIs, shader programming, 3D modeling
Work EnvironmentResearch labs, AI-focused companies, tech startupsGame studios, visual effects companies, simulation firms
Industry UsageEmerging in AI-driven visualization and renderingEstablished in gaming, film, and simulation industries

Neural Rendering focuses on using neural networks and AI techniques to generate or enhance visual content, often requiring expertise in machine learning. In contrast, 3D Graphics Programmers develop traditional graphics algorithms, shaders, and models for real-time rendering. While both roles involve visual content creation, Neural Rendering is more research-oriented and AI-driven, whereas 3D Graphics Programming emphasizes technical implementation within graphics pipelines.

More about Neural Rendering jobs
What cities are hiring for Neural Rendering jobs? Cities with the most Neural Rendering job openings:
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What job categories do people searching Neural Rendering jobs look for? The top searched job categories for Neural Rendering jobs are:
Neural Rendering jobs near you
Infographic showing various Neural Rendering job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $43,888 per year, or $21.1 per hour.
Director of Engineering, Simulation & Rendering

Director of Engineering, Simulation & Rendering

Parallel Domain

San Francisco, CA • On-site

$200K - $250K/yr

Full-time

Posted 2 days ago

Job description

About the Role

Before an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments.

Our simulation core and rendering pipeline are how that platform earns its credibility with customers. The current stack is rooted in real-time game engine technology, and we're evolving it to incorporate scene reconstruction (gaussian splatting, NeRFs), neural rendering, and diffusion-based techniques. Leading this evolution is central to where the team is going.

We're hiring a Director of Engineering to lead our Simulation & Graphics organization. Reporting to the VP of Engineering, you'll own the technical direction for two pods totaling roughly 10-15 people: a simulation and rendering pod focused on the engine and runtime, and a content and technical-art pod focused on world-building, assets, and tooling. You'll set strategy, hire and grow high-performing teams, and partner across engineering, ML, product, and customer-facing functions on cross-cutting initiatives that expand what our customers can do with the platform.

Responsibilities

  • Set technical direction. Own the multi-quarter roadmap for simulation, rendering, and content. Translate company-level objectives into a sequenced plan, and make the prioritization calls when the team can't do everything at once.

  • Guide technical evolution. Lead the team through the next phase of the platform-incorporating scene reconstruction, neural rendering, and ML-powered content techniques alongside the existing real-time engine stack-without losing sight of the production system our customers rely on today.

  • Manage and develop the team. Hire when you need to, level up the team you have, and create the conditions where strong technical contributors do their best work.

  • Drive cross-functional execution. Partner with leaders across ML, platform, SDK, QA, and product to ship coherent, end-to-end capabilities. Own the operating cadence: planning, dependency management, and release readiness.

  • Stay close to the engineering. You won't be writing production code, but you'll review architecture, weigh in on hard tradeoffs, and have informed opinions about the work.

  • Recruit and close. Be the front door for senior candidates and the closer on the highest-priority hires. Top-tier rendering, simulation, and graphics talent is hard to find and expensive to mis-hire.
 
Required Qualifications

  • Leadership track record. 10+ years of engineering experience with at least 5 years leading technical teams, including managing senior individual contributors and ideally other managers.

  • Domain expertise. A track record of delivering at the intersection of real-time rendering, simulation, or related graphics-heavy domains: video games, computer animation, VFX, virtual production, autonomous simulation, or similar.

  • Experience leading change. You've taken a team through significant technical change-an engine upgrade, a re-architecture, a tools migration, a shift in content paradigm-and you understand the human side as well as the technical side.

  • Technical judgment. You can hold your own in a discussion about renderer architecture, asset pipelines, GPU performance, and the tradeoffs between fidelity, performance, and authoring cost.

  • Communication. You can explain a thorny tradeoff to a non-technical executive in five sentences and write a roadmap the team actually uses.

  • Artistic sensibility. A real feel for what makes a scene look right, and the ability to speak that language with the artists and engineers building it.
 
Preferred Qualifications

  • Unreal Engine. Hands-on background and an opinionated view on its strengths and limitations.

  • Modern rendering techniques. Familiarity with reconstruction-based methods (gaussian splatting, NeRFs), neural rendering, or diffusion-based content generation.

  • C++ depth. Track record of leading C++-heavy codebases. Our engineering team works primarily in C++.

  • Adjacent fields. Direct exposure to machine learning, computer vision, or autonomous systems.

  • Cloud infrastructure. Experience with cloud-scale infrastructure for rendering and simulation.
 
What Makes a Great Candidate
You think like a builder. You're opinionated about the craft of rendering and simulation but undogmatic about the tools. You hire people stronger than you, give them room to operate, and take pride in the team's results. You communicate clearly and manage with respect.
Base pay range of $200,000-$250,000 USD/CAD, depending on skills, qualifications, experience, and location. This role is based in the San Francisco Bay Area or Vancouver, BC, with hybrid expectations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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