Research Engineer - Computational Design

Logoslabs; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Logoslabs, a MIT-born Silicon Valley startup, is building an AI Copilot for design and manufacturing, aiming to reduce costs and boost engineering productivity through AI, physics simulation, and graphics. We are seeking a senior engineer to design and maintain geometry processing, develop 2D/3D data processing and rendering modules, and curate large-scale datasets for learning-based systems.

Ideal candidates have 5+ years in geometric processing, ML, or related fields, and hold a BSc or MSc in

Qualifications

• 5+ years of experience in Geometric Processing, Simulation, Optimization, ML, or DSLs.
• BSc or MSc in Computer Science, Engineering, or a related field.
• Proficient in writing clean, modular Python code.
• Experience with dataset creation and data pipeline development.

Responsibilities

• 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.
• Curate and manage large-scale datasets for learning-based systems.
• Implement and optimize post-training workflows for machine learning models.
• Contribute to the development of domain-specific languages for engineering tasks.

Skills

Geometric Processing

Simulation

Optimization

Machine Learning

Domain-Specific Languages

Education

BSc or MSc in Computer Science, Engineering, or related field

Tools

Python

Job description

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

Responsibilities

• 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.

• Curate and manage large-scale datasets for learning-based systems.

• Implement and optimize post-training workflows for machine learning models.

• Contribute to the development of domain-specific languages for engineering tasks.

What we are looking for

• 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.

• BSc or MSc in Computer Science, Engineering, or a related field.

• Proficient in writing clean, modular, and maintainable Python code.

• Experience with dataset creation and data pipeline development.

Bonus Points

• PhD or MS with a focus in Computational Design, Simulation, or AI.

• Experience developing CAD/CAM/CAE software tools.

• Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.

• Experience designing or implementing DSLs or compilers.