This role pays more than
92%
of similar roles. Most pay
$195,787–$254,750
— the shaded band above.
At the midpoint, this role pays about
$308k
versus about
$225k
for comparable roles.
Based on 240 similar postings.
Employer
About General Motors (GM)
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has
116 open roles
on FindRole.
Listed pay typically runs
$160,200–$245,000
across 59 roles with salary data.
Principal AI/ML Engineer, AV ML Infra joins the AV ML Infra team to lead a growing organization and shape long-term vision for machine learning infrastructure. This role focuses on building products that empower internal teams to perform data science and machine learning at scale rather than applying models to specific tasks. The engineer will design and implement scalable distributed computing and data processing solutions using cloud technologies like GCP or Azure, while managing technical projects from inception to completion. Key responsibilities include mentoring engineers, conducting interviews, and overseeing infrastructure for AI validation, inference, and training pipelines. Required skills include proficiency in Python, C++, or Golang, experience with relational and NoSQL databases, and a background in large-scale distributed systems. The role addresses the complex technical challenges of autonomous vehicle technology by providing robust tools for experimentation and reproducibility.
Define and execute long-term vision and strategy for GM’s AI and ML infrastructure capabilities.
Design and implement scalable distributed computing and data processing solutions using cloud technologies like GCP or Azure.
Manage technical projects from inception to completion while making critical decisions on trade-offs and product roadmaps.
Develop infrastructure products that enable large-scale machine learning and data science for internal teams.
Lead the organization by designing structures that facilitate effective execution across cross-functional teams.
Conduct technical interviews, onboard new hires, and mentor engineers and interns to foster a growth culture.
Oversee the development of ML inference pipelines and high-scale training systems on cloud and on-premise resources.
What we're looking for
Must have 10+ years of experience with a strong background in large-scale distributed systems preferred.
Must have 5+ years of experience leading and driving large-scale initiatives.
Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
Experience working with relational and NoSQL databases.
Demonstrated ability to develop and maintain systems at scale.
Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field (or equivalent practical experience).
Remote (Sunnyvale, CA)+5176 days ago
$296,300–$453,200
Python
PyTorch
TensorFlow
C++
Distributed Training
DDP
FSDP
GPU Computing
AWS
GCP
Azure
Data Processing Pipelines
Model Optimization
Profiling
Debugging
Agentic AI
Machine Learning
Large Language Models
Reinforcement Learning
Amazon SageMaker
Amazon Bedrock
Kubernetes
Distributed Systems
Experimental Design
TensorFlow
PyTorch
Python
C++
GPU
NPU
Windows
High Performance Computing
Parallel Computing
Machine Learning
Computer Vision
Generative AI
Agentic AI
Hardware Acceleration
Agile
Version Control