Note: The job is a remote job and is open to candidates in USA. General Motors is a leading automotive company focused on innovation and safety in transportation. They are seeking a Senior Engineering Manager for their Embodied AI team to manage AI/ML engineers, drive technical vision, and enhance the performance of autonomous vehicle models through effective data management and engineering practices.
Responsibilities
- Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM
- Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports
- Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team
- Define the project roadmap, set development priorities, and align the team’s work with company objectives and product milestones
- Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs
- Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles
Skills
- BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field
- Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence
- Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement
- Track record delivering scalable software solutions to a production environment using Python
- Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models
- Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology
- Strong organizational, communication, and people leadership skills
- A background in Robotics or the AV/ADAS industry
- Direct experience leveraging LLMs/VLMs/etc. for production workflows
- Experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams
- Strong data processing skills using tools like Numpy, Pandas, and Apache Spark
- Experience developing or working with safety-critical code and systems
- Experience deploying foundation models into production environments and understanding the end-to-end process
Benefits
- 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
Company Overview
Company H1B Sponsorship