Senior AI/ML Engineer, AV Pipelines & Lineage

General Motors (GM)

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, California
Salary: $155,420–$395,900 / yr
Posted: 62 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $276k

$127k most similar roles pay here $425k

This role pays more than 89% of similar roles. Most pay $185,375–$246,150 — the shaded band above. At the midpoint, this role pays about $276k versus about $216k 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 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Senior AI/ML Engineer, AV Pipelines & Lineage

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As a Senior Cloud Engineer at General Motors, you will join the cutting-edge team developing autonomous vehicles and electric cars. Your role involves designing and implementing scalable distributed computing solutions on cloud platforms like GCP or Azure, taking projects from conception to completion while contributing to the product roadmap. You’ll collaborate closely with cross-functional teams, conduct code reviews, and mentor junior engineers. Ideal candidates have over five years of experience in large-scale distributed systems, proficiency in Python, C++, or Golang, and a background in computer science or related fields. Experience with Kubernetes, open-source orchestration platforms, and machine learning pipelines is highly valued as you work on transformative technology that aims to revolutionize transportation safety and efficiency.

Skills

Google Cloud Platform Azure Kubernetes Python C++ Golang SQL NoSQL Kubeflow Flyte Airflow Machine Learning

What you'll do

Design and implement scalable distributed computing solutions using cloud technologies like GCP or Azure.
Own technical projects from start to finish, contributing to the product roadmap and making critical decisions on trade-offs.
Mentor engineers and interns through technical interviews and ongoing support, fostering a culture of growth.
Build and maintain large-scale infrastructure on the cloud using languages such as Python, C++, or Golang.
Engage in team planning, code reviews, and design discussions to ensure projects impact multiple teams positively.

What we're looking for

5+ years of experience in large-scale distributed systems and cloud technologies.
Proficiency in Python, C++, Golang, or similar languages for building scalable infrastructure.
Experience leading technical projects from inception to completion with a focus on scalability.
Strong background in relational and NoSQL databases, Kubernetes, and open-source orchestration platforms.
Bachelor’s degree or higher in Computer Science, Electrical Engineering, Mathematics, Physics, or related field.
Passion for autonomous vehicle technology and commitment to solving complex problems efficiently.

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