Staff Full Stack Engineer

General Motors • United State
Remote Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

We are seeking an experienced Staff full stack engineer to collaborate with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions. The role involves building UX experiences, backend integrations, and agentic workflows to improve MLE workflows and productivity. The ideal candidate will have experience building, deploying, and operating high-availability services and creating ground-up enterprise architecture.

Key Highlights
Build UX experiences and agentic workflows
Collaborate with machine learning engineers and research scientists
Develop state-of-the-art AI solutions
Key Responsibilities
Build UX experiences and agentic workflows
Collaborate with machine learning engineers and research scientists
Develop state-of-the-art AI solutions
Own and drive the design and architecture across the ecosystem
Establish consistent metrics to measure platform performance & health
Technical Skills Required
Python Java Go React Angular JavaScript TypeScript Cloud infrastructure Automations Configuration management Artifact management CI/CD solutions
Benefits & Perks
Salary range $218,800-$335,300
Bonus potential
Health and wellbeing benefit programs
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Nice to Have
Experience working with technologies including Web services, JSON, GraphQL
Experience building interactive tools that are core to people's daily work
Experience with data science/visualization ML or experimental design knowledge

Job Description


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.


This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. 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.

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 or call us at 1-800-865-7580. 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.

Similar Jobs

Explore other opportunities that match your interests

AI/ML Engineer, Simulation Systems

Machine Learning
•
2h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

Stealth Startup

United State

Senior Machine Learning Engineer

Machine Learning
•
7h ago
Visa Sponsorship Relocation Remote
Job Type Contract
Experience Level Mid-Senior level

Marathon TS

United State

Senior Machine Learning Engineer

Machine Learning
•
16h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

Lumicity

United State

Subscribe our newsletter

New Things Will Always Update Regularly