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.
The Role
We are looking for an experienced Software Architect to help shape the foundation of our products as we scale. You will lead architecture decisions across our systems, collaborate closely with product and research teams, and drive the delivery of high-impact features across the stack.
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
Responsibilities
Lead the architecture, technical design, and execution strategy for cross-functional engineering initiatives.
Define scalable system designs and establish engineering best practices across the organization.
Partner closely 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 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.
What Were Looking for
BS/MS in Computer Science, Engineering, or a 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 and/or AWS.
Strong knowledge of data modeling, performance optimization, and scalable system design.
Familiarity with machine learning including LLMs.
Excellent communication and collaboration skills across technical and non-technical teams.
Bonus Points
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.
Our Tech Stack
Google Cloud, AWS
Python, TypeScript
Protobuf, gRPC
Next.JS, React.JS
GitHub Actions
Docker, Kubernetes, Spinnaker
PostgreSQL
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