Job Specifications
Job Description
About the Role
We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.
What You’ll Do:
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
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
Develop and nurture technical talent within the team and recruiting
Your Skills & Abilities (Required Qualifications)
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
Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams
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
Experience building production-level frontend applications using React, Angular or similar frameworks
Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
A passion for all things tech and has a drive to experiment with new technologies to see where they can benefit the business
BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience
Willingness to travel to Sunnyvale, CA as needed
What Will Give You a Competitive Edge (preferred qualifications):
Experience working with technologies including Web services, JSON, GraphQL, agentic workflows
Experience building interactive tools that are core to people's daily work
Experience with data science/visualization
ML or experimental design knowledge
Self-motivated, strong execution, impact-delivery oriented
Excellent communication skills to resolve conflicts, build consensus, communicate risks and provide constructive feedback
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
About the Company
General Motors' vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we're also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, whe...
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