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Neural Rendering Jobs in New York, NY (NOW HIRING)

Neural Rendering Integration: Connect the outputs of your foundational models into highly optimized, large‑scale dense reconstruction pipelines (3D Gaussian Splatting, NeRFs) to generate ...

Neural Rendering information

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$15

$23

$38

How much do neural rendering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for neural rendering in New York, NY is $23.08, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $23.12 per hour, depending on experience, location, and employer.

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 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 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.

Infographic showing various Neural Rendering job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $48,015 per year, or $23.1 per hour.

Software Engineer, Simulation

Bedrock Robotics

New York, NY • On-site

Full-time

Re-posted 24 days ago


Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Mission:
We're looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock - it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.
Our autonomy stack is deeply machine-learning-driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics - including terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success.
What You'll Do:
  • Build and scale high-fidelity simulation environments for autonomous construction machines
  • Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
  • Improve realism and performance to better reflect real-world behavior
  • Help guide our strategy in scene generation and neural rendering techniques
  • Write production-quality, hands-on code and build real simulation content-not just prototypes
Who You Are:
Simulation spans many disciplines, and we don't expect one person to do everything. Strong candidates typically bring:
  • A passion for large-scale, realistic simulation systems
  • Experience with advanced 3D simulation software
  • Experience evaluating systems and improving realism to support autonomy stacks
  • A hands-on mindset and enthusiasm for building core simulation algorithms and content
What We're Looking For:
  • Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics
  • 4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++
  • 2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse
Preferred Qualifications:
  • Experience with Rust or interest in learning it
  • Robotics simulation background
  • Experience with neural rendering techniques (Gaussian splats, NeRFs)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY), please apply anyway! We'd love to consider you.
Bedrock Robotics is an Equal Opportunity Employer
We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.