Staff ML Infrastructure Engineer - Embodied AI
New
G
General MotorsAutonomous Vehicle
United StatesFull-TimeStaff
SalaryUSD 189300 - 290700 / year
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonKubernetesMachine LearningPyTorchC++TensorflowMLOpsDistributed Systems
Requirements
- 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
- Expertise in Python or C++.
- Deep understanding of machine learning algorithms with hands-on application.
- Proven track record of designing robust frameworks with durable APIs.
- Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
- End-to-end experience across the ML development lifecycle, including MLOps practices.
- Strong cross-functional collaboration skills.
- Strong interest in autonomous driving.
- BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.
Responsibilities
- Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
- Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs.
- Drive technical prioritization and collaborate with partner teams to ensure maximum benefit from built systems.
- Take a holistic view of projects, considering impact across multiple teams and long-term timelines.
- Contribute to team planning, design reviews, and code quality.
- Mentor and onboard junior engineers and interns to support their professional growth.
- Participate in technical interviewing to maintain high hiring standards.
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