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Foundation EGI is an MIT-born, venture-backed startup building an AI Copilot for design and manufacturing. The company leverages advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across the design and manufacturing process.
You will serve as a Software Architect, leading architecture decisions across the company's systems as it scales. This is a hands-on technical leadership role where you will collaborate closely with product and research teams, drive delivery of high-impact features across the full stack, and help establish the technical foundation for the platform.
Key responsibilities include:
- Lead architecture, technical design, and execution strategy for cross-functional engineering initiatives
- Define scalable system designs and establish engineering best practices across the organization
- Partner with Product and Research teams to translate ideas into production-ready features
- Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones
- Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming
- Improve reliability, scalability, observability, and performance of platforms and services
- Contribute hands-on to critical parts of the codebase with clean, maintainable, well-tested code
- Drive continuous improvements in developer experience, infrastructure, and deployment workflows
- Foster a strong engineering culture focused on quality, ownership, and collaboration
The tech stack includes Google Cloud, AWS, Python, TypeScript, Protobuf, gRPC, Next.js, React.js, GitHub Actions, Docker, Kubernetes, Spinnaker, and PostgreSQL.
REQUIREMENTS:
- BS/MS in Computer Science, Engineering, or related technical field
- 10+ years of experience building and scaling complex software systems
- Strong experience designing distributed systems and service-oriented architectures
- Fluency in Python, TypeScript, and SQL
- Experience designing and implementing gRPC and Protobuf-based APIs
- 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
- Excellent communication and collaboration skills across technical and non-technical teams
BONUS:
- Experience managing infrastructure as code (Terraform, Pulumi, etc.)
- 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
- Familiarity with Kubernetes-based production environments
