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1–2 jobs· newest first

Senior Research Engineer, Generative 3DNew
MimoLabs · Remote, US
$170K–$220KRemote · Full-time · Senior
Researcher - Computer Graphics
Universität Siegen · Siegen, Germany
Pay grade 13 TV-LFull-time · Senior

+10K new in the last hour

Senior Research Engineer, Generative 3D

MimoLabs · Posted Oct 28, 2026

Remote, United States
Remote
Full-time · Senior
$170K–$220K per year

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Build and train generative 3D models and training pipelines, lead research practice, and bring models to production.

Compensation

$170K–$220K base and equity, four-year vesting with a one-year cliff.

Responsibilities

Build and train models that turn intent into manufacturable geometry
Put physics in the loop with differentiable simulation and physics-driven optimization
Own the training pipeline end to end
Build understanding side: part segmentation, semantic classification and spatial comprehension of CAD and mesh data
Run the research practice: read the field, reproduce methods, write go/no-go memos

Requirements

Nice to have: Topology optimization
Nice to have: Computational design
Nice to have: GPU serving
Nice to have: Contact modeling
Nice to have: Material models

Skills

Generative 3D diffusion Flow models Implicit representations Voxel representations Latent-space optimization Differentiable simulation Physics-driven shape optimization Finite elements Training pipelines Multi-GPU hardware CUDA Triton Warp kernels B-rep Parametric CAD Computational mechanics Differentiable rendering Gaussian splatting Rust Warp

Benefits

Health insurance
Dental insurance
Vision insurance

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U

Researcher - Computer Graphics

Universität Siegen · Posted Nov 4, 2026

Siegen, North Rhine-Westphalia, Germany
Full-time · Senior
Pay grade 13 TV-L

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Doctoral researcher in Computer Graphics and Multimedia Systems, contributing to data-driven and model-based methods for industrial inspection.

Responsibilities

Develop and implement differentiable simulation models to generate synthetic sensor and camera data for industrial inspection
Investigate how material properties, defects, and acquisition conditions affect the performance and robustness of quality assurance methods
Develop methods for task-driven optimization of sensor parameters and data acquisition methods, potentially including sampling and compression approaches
Evaluate the developed methods using suitable production scenarios and real sensor data in collaboration with the project partners
Publish research results, prepare open reference implementations for training and knowledge transfer, and supervise student theses and projects within the scope of the project

Requirements

Master's degree in Computer Science or related discipline

Skills

Programming Computer Graphics Computer Vision Mathematical Modelling

Physics-based Simulation

Differentiable Simulation

Numerical Optimization

Machine Learning

Benefits

Health management with a wide range of prevention and counseling services
Good work-life balance through flexible working hours and work location
Support with child care

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