Source Job

Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. Build services for reading, processing, and writing 2D/3D engineering data. Develop rendering modules for generating 2D/3D visual assets.

An MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'.

You will join a highly innovative simulation initiative focused on building next-generation digital twins and virtual modeling technology for industrial systems. The project develops advanced tools that combine physics-based simulation, geometry processing, and high-performance computing — enabling companies to model, predict, and optimize the behavior of complex machines. Your work will directly contribute to a simulation engine that bridges mechanical engineering, computational science, and modern software development.

NEDGEX is the innovation and corporate-venturing arm of the NETZSCH Group, focused on building and investing in early-stage B2B deep-tech ventures.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Transform raw customer data into structured, high-fidelity datasets.
• Create data pipelines, labeling workflows, and reference models.
• Partner with engineering and research teams to understand model data requirements.

Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.