The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.
Description
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.
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:
Your Skills & Abilities (Required Qualifications)
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.
Benefits:
Relocation: This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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.
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)
- 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
- 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
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 $180,500 to $241,500. 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.
Relocation: This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Top Skills
Angular
Ci/Cd
Cloud Infrastructure
Go
Java
JavaScript
Python
React
Typescript
Webgl
Similar Jobs at General Motors
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Contingent Workforce Manager will lead GM's contingent workforce program, focusing on program adoption, compliance, operational oversight, and stakeholder collaboration, while utilizing data and technology for continuous improvement.
Top Skills:
BeelineFieldglassPower BITableauVendor Management Systems (Vms)Workday
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Group Product Manager will oversee analytics and data science in customer care, focusing on strategic opportunities and leading a technical team to optimize performance and drive insights.
Top Skills:
AIData AnalyticsData ScienceMachine LearningStatistical Modeling
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the design and development of test automation frameworks and strategies for embedded software, ensuring high quality and performance in testing processes.
Top Skills:
Azure DevopsC++Github ActionsGitlab Ci/CdGoGoogletestJenkinsPytestPythonRobot FrameworkRust
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.