Generative AI Engineer

Spectronn is a tech startup building an agentic AI platform for multiple industries. The company is hiring an engineer to lead synthetic video generation, producing photorealistic and accurately labeled aerial video for training and evaluating computer vision models. The role combines 3D rendering, generative image and video models, simulation pipelines, and GPU infrastructure.

Responsibilities:

• Raise photorealism. Improve materials, lighting, terrain, water, and atmosphere in rendered aerial video, and match camera and sensor effects to real footage
• Apply generative image and video models. Use models such as Stable Diffusion and SDXL with ControlNet, Stable Video Diffusion, Wan, or Cosmos to enhance rendered footage, with conditioning and automated checks that keep labels accurate
• Fine-tune on in-domain data. Adapt generative models to specific sensors, environments, and conditions while keeping results temporally consistent
• Broaden coverage. Extend scene generation to new environments, platforms, object types, and conditions
• Build the asset library. Source, license-check, and maintain 3D assets with correct scale and materials
• Measure realism quantitatively. Run sim-to-real experiments and track distribution metrics, not just visual impressions
• Run at scale. Operate rendering on GPU infrastructure with reproducible, well-documented outputs