Senior ML Infrastructure Engineer - Embodied AI
New
G
General MotorsAutonomous Vehicles
United StatesFull-TimeSenior
Salary$153,200.00 to $234,100.00
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Job Details
- Experience
- 3+ years
- Required Skills
- DockerPythonKubernetesMachine LearningPyTorchC++TensorflowMLOpsDistributed Systems
Requirements
- 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure.
- Experience designing robust services or frameworks with durable, well-designed APIs.
- Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments.
- Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
- Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices.
- Strong cross-functional collaboration skills across teams and organizations.
- Strong coding skills in Python or C++.
- BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.
Responsibilities
- Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.
- Drive complex technical projects with strong ownership of implementation, code quality, and system reliability.
- Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.
- Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption.
- Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity.
- Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence.
- Support onboarding and mentoring of junior engineers and interns.
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