Staff Platform Architect, Engineering Data & AI

Mojo Vision; Cupertino (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Mojo Vision in Cupertino, CA seeks a Senior Platform Architect to define the architecture for Mojo’s engineering knowledge and data platform. You will design scalable data models, ingestion pipelines, and services that unify experiments, simulations, and manufacturing data.

You will drive adoption by partnering with engineers, define standards, and shape how AI-assisted design systems leverage engineering data across Mojo Studio and related tooling.

Qualifications

• BS, MS, or PhD in Electrical Engineering, Optical Engineering, Physics, Mechanical Engineering, Computer Engineering, or a related field.
• 8+ years building production-grade software platforms, backend systems, or data-intensive applications.
• Demonstrated success leading architecture and implementation of large-scale technical systems.
• Strong experience designing and operating cloud-native systems on AWS.
• Deep understanding of APIs, relational data models, object storage, queues, event-driven systems, and data-processing pipelines.
• Experience designing data-modeling skills, including metadata, identifiers, schema evolution, lineage, and complex relationships.
• Expertise with infrastructure-as-code, containers, CI/CD, monitoring, and production operations.
• Strong understanding of data quality, validation, observability, security, reproducibility, and failure handling.
• Ability to work effectively in ambiguous environments and translate complex engineering needs into practical software.

Responsibilities

• Define and own the technical architecture for Mojo’s engineering knowledge and data platform.
• Design scalable systems that unify experimental, simulation, manufacturing, and analysis data.
• Create data models that represent complex engineering workflows, relationships, provenance, and metadata.
• Develop services, APIs, ingestion pipelines, and core platform capabilities.
• Integrate data from laboratory equipment, simulations, manufacturing systems, and engineering tools.
• Establish data quality, lineage, observability, governance, and security.
• Partner with engineers and domain experts across disciplines to drive adoption and standardization.
• Build systems that reduce effort and improve efficiency for engineers.
• Help define how AI systems interact with engineering knowledge and design data.

Skills

Cloud-native AWS

API design

Data pipelines

Infrastructure as code

Containers

CI/CD

Observability

Security

Distributed systems

Data modeling

Education

PhD in EE / Optical / Physics / CE

Masters or PhD in CS preferred

Tools

AWS services (S3, RDS, ECS/EKS, Lambda, SQS, IAM)

Workflow orchestration

Knowledge graphs / provenance

Job description

Mojo Vision in Cupertino, CA seeks a Senior Platform Architect to define the architecture for Mojo’s engineering knowledge and data platform. You will design scalable data models, ingestion pipelines, and services that unify experiments, simulations, and manufacturing data.

You will drive adoption by partnering with engineers, define standards, and shape how AI-assisted design systems leverage engineering data across Mojo Studio and related tooling.