资深经理，具身AI
Senior Manager, Embodied AI
职位描述
我们正在寻找一位经验丰富且技术能力强的高级工程经理 – AI/ML 工程，加入 Embodied AI 的数据基础组织。该职位强调日常人员管理、技术指导和有效执行。您将通过推动数据飞轮的愿景和运营卓越，为自动驾驶汽车（AV）的发展未来做出贡献，从而持续提升通用汽车（GM）基础 AV 模型的性能。
您将管理 AI/ML 工程师，支持他们的职业发展，并指导团队的技术方向。在此职位中，您将与组织内的其他团队密切合作，帮助定义工程执行的最佳实践，并为构建和维持高影响力、高性能的团队做出贡献。
关于团队：
数据扩展小组负责 AV 基础模型开发及后续微调的数据飞轮。它定义了 AV 在大规模学习行为时所需的数据显示组成，并确保产品成功所需驾驶行为的交付。该团队负责数据循环中的数据质量定义和流程。
该团队直接开发并交付 ML 模型到产品中，这些模型依次沿着数据扩展曲线提升，从而通过智能使用数据提高 AV 性能。作为这项工作的组成部分，该团队构建可扩展的系统和管道，尝试在每次主要版本发布中实现数据量、多样性和对模型影响的 10 倍增长。该团队使用 GM 内部可访问的现有大型数据集，并定义 GM 持续收集的下一代高价值数据集 – 既包括 GM 内部和零售车队的真实驾驶数据，也包括基于模拟的合成数据集。
为什么加入我们？
· 通过数据将 AV 基础模型的预训练和微调扩展到最大容量 – 数十亿个示例 – 跨越不同来源，通过每个额外的示例为模型提供最大价值。
- 与前沿技术和协作性强、高影响力的 AI/ML 工程师、数据科学家和工程师团队合作，他们热衷于利用先进的 AI 技术推动 L2、L3 和 L4 应用的创新。
- 为下一代自动驾驶汽车的安全性、可靠性和可扩展性做出贡献。
您将负责：
· 管理一支 AI/ML 工程师团队，构建和扩展 GM 的数据飞轮。
- 提升工程标准
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Job Description
We are seeking an experienced and technically strong Senior Engineering Manager – AI/ML Engineering for the Data Foundations organization of Embodied AI. This role emphasizes day‑to‑day people management, technical guidance, and effective execution. You will contribute to the future of Autonomous Vehicle (AV) development by helping drive the vision and operational excellence of the data flywheel that continuously improves GM’s Foundation AV model performance.
You will manage AI/ML Engineers, support their career growth, and guide the team’s technical direction. In this role, you will collaborate closely with partner teams across the organization, help define best practices for engineering execution, and contribute to building and sustaining a high‑impact, high‑performance team.
About the Team:
The Data Scaling group owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop.
The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby improving AV performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect – both from real driving by GM internal and retail fleets but also synthetic sim-based datasets.
Why Join Us?
· Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example.
- Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications.
- Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.
What You'll Do:
· 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.
What You Must Have:
· 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.
Bonus Points
· 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.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
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 the California Bay Area.
- The salary range for this role is $296,300-$453,900. 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:
· 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.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
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Originally posted on Himalayas