Research Engineer

Foundation EGI; United States; On-site; USD 150,000 - 300,000; Full time

Job summary

Foundation EGI, a leading AI-focused startup, seeks a Research Engineer to enhance productivity across design and manufacturing processes. You will innovate in geometry processing, simulation, and machine learning while collaborating in a cutting-edge environment that values your expertise and creativity.

Qualifications

• 5+ years of experience in Geometric Processing and Machine Learning.
• Proficient in writing maintainable Python code.
• Experience with data pipeline development.

Responsibilities

• Design and maintain geometry processing and simulation algorithms.
• Build services for reading and processing engineering data.
• Manage large-scale datasets for learning-based systems.

Skills

Geometric Processing

Simulation

Optimization

Machine Learning

Domain-Specific Languages

Python

Data Pipeline Development

Education

BSc or MSc in Computer Science or Engineering

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.
• 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're 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 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.

Contact Us

Reach us at [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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