Lead Spatial AI & 3D Generative Computer Vision Engineer

Opportunity Overview

Location: 100% Remote (United States)
Employment Type: Full-Time Direct-Hire via Accel DNA
Compensation Range: $195,000 – $235,000 Base + Equity
Hiring Agency: Accel DNA – Premier Frontier Data & AI Talent Partner

Pioneer the convergence of generative AI and spatial computing, developing 3D Gaussian Splatting, NeRFs, and multimodal vision models for real-world simulation.

Key Responsibilities:

• Develop neural radiance fields (NeRFs) and 3D Gaussian Splatting (3DGS) pipelines for photorealistic real-time environment reconstruction.
• Train generative 3D diffusion and feedforward models generating textured meshes from single or sparse multi-view images.
• Integrate spatial vision models with robotics simulators and game engines (Omniverse, Unreal Engine).
• Optimize real-time rendering pipelines for low-latency WebGL and XR headset visualization.

What You Bring:

• 5+ years in computer vision, 3D graphics, or computational photography with deep proficiency in PyTorch and CUDA.
• Solid track record developing with NeRF, 3DGS, differentiable rendering, or diffusion-based 3D asset generation.
• Familiarity with camera calibration, COLMAP, structure from motion (SfM), and geometric computer vision.
• MS/PhD in Computer Vision, Computer Graphics, or Machine Learning.

How to Apply:

Interested in exploring this opportunity? Submit your profile or portfolio directly to contact@accel-dna.com or apply through https://accel-dna.com/contact-us/.