# Lead Spatial AI & 3D Generative Computer Vision Engineer

- Link: https://accel-dna.com/jobs/lead-spatial-ai-3d-generative-computer-vision-engineer/
- Published: 2026-10-29T10:22:00+00:00
- Author: Umar Mahmud

## 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](https://accel-dna.com/jobs/lead-spatial-ai-3d-generative-computer-vision-engineer/contact@accel-dna.com)
or apply through [https://accel-dna.com/contact-us/](https://accel-dna.com/contact-us/).