Computer Scientist, 3D – Contractor

🕒 June 24

🇩🇪 Germany – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

✨ Scientist

👻 Ghost score 69%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Λbstract

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎮 Gaming

🥽 AR/VR

📱 Media

Gaming • AR/VR • Media

Λbstract is a group of companies focused on developing cutting-edge 3D technology. Their solutions enable clients across various industries, including leading game developers, VFX studios, and major brands, to create mesmerizing 3D scenes in a scalable, collaborative environment and in real-time. Their product offerings include InstaLOD for efficient 3D content optimization, InstaMAT for the automation of 3D materials and asset processing, InstaREC for photogrammetry and 3D data processing, and RSX Engine for real-time 3D collaboration and cinematic rendering. Abstract also offers digital asset management through Polyverse for 2D and 3D assets. Their technology helps teams reduce costs significantly while enhancing creativity and collaboration in the production of 3D projects.

📋 Description

• Lead the pace of innovation across Abstract • Conduct thorough research and solve complex problems • Directly influence automation and the future of 3D content creation

🎯 Requirements

• Ability to write clean, well-structured C++ code with multi-threaded programming techniques • Proficiency in 3D APIs such as OpenGL • Understanding of parallel computing concepts and familiarity with GPU programming • Prior development experience in LOD generation or mesh simplification • Passion in integrating AI/ML techniques for enhancing geometric processing, such as text-to-mesh conversion, generative modeling, Gaussian splatting • Hands-on experience leveraging deep learning frameworks like PyTorch and with CNNs • Proven track record of research with publications in one or more of the following fields: computational geometry, computer graphics, AI/ML including generative AI

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