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Foundation EGI

Software Architect (Remote Boston MA)

remote, OR

Check who can apply and the requirements below before continuing.

About this opportunity

Foundation EGI lists this Software Architect (Remote Boston MA) opportunity in remote, Oregon. Review the employer’s description below for duties, qualifications and application requirements.

Job description

About us

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.

We are looking for an experienced Software Architect to help shape the foundation of our products as we scale. This role is ideal for someone who enjoys solving complex technical problems, mentoring teams, and building scalable systems at the intersection of AI, simulation, and modern cloud infrastructure

\Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones.

Improve the reliability, scalability, observability, and performance of our platforms and services.

Contribute hands-on to critical parts of the codebase with clean, maintainable, and well-tested code.

Drive continuous improvements in developer experience, infrastructure, and deployment workflows.

Help foster a strong engineering culture focused on quality, ownership, and collaboration.

BS/MS in Computer Science, Engineering, or a related technical field.

10+ years of experience building and scaling complex software systems.

Fluency in Python, TypeScript, and SQL.

Experience working with cloud infrastructure on Google Cloud Platform.

Strong knowledge of data modeling, performance optimization, and scalable system design.

Familiarity with machine learning including LLMs.

Experience building Frontends with React.JS.

Bonus Points

Experience working with CAD software.

Background in computer graphics, simulation, or physics-based systems.

Experience building or working with Domain-Specific Languages (DSLs).

Experience deploying or integrating machine learning systems into production environments.

Google Cloud, AWS

Python, TypeScript

JS, React.JS

PostgreSQL

\

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