The AI Lifecycle Team at Cruise needs a Staff Full Stack Engineer to build the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV, enabling MLEs to run and debug ML pipelines, initiate data collection, manage model training, evaluate model performance, and deploy models to the AV.
Requirements
- At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
- Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
- Experience building, deploying, and operating high-availability services
- Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies
- Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
- Programming experience in Python, Java, Go
- Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions
Responsibilities
- Build UX experiences and agentic workflows to improve MLE workflows and productivity
- Build backend integrations to provide unified experience across ML lifecycle
- Raise the bar on system observability, debuggability, and operational excellence, and user experience.
- Own and drive the design and architecture across the ecosystem that meets security and compliance standards
- Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment
- Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations.
- Partner with engineering teams to ensure seamless end-to-end flow and data quality
Other
- Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
- Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
- Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
- Review and approve technical design documents and pull requests. Improve and enhance engineering systems documentation and development processes
- Identify and pursue new paths of inquiry, innovation and challenge status quo
