Software Architect (Remote Boston MA)
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Before you apply
SalaryNo pay range posted
LocationBoston, MA
Work moderemote · United States
Typefull-time
SeniorityLead
Experience10+ yrs
DepartmentEngineering
Company size4+ people
PostedOct 19, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
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
Skills
Python
TypeScript
SQL
gRPC
Protobuf
Google Cloud Platform
React.JS
Machine Learning
LLMs
Terraform
Pulumi
CAD
computer graphics
simulation
physics-based systems
Domain-Specific Languages
Kubernetes
Docker
Spinnaker
GitHub Actions
PostgreSQL
Next.JS
AWS
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.
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.
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Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones.
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Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming.
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Improve the reliability, scalability, observability, and performance of our platforms and services.
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Contribute hands-on to critical parts of the codebase with clean, maintainable, and well-tested code.
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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.
•
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 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