ML / AI Software Engineer - C++ Metrics Frameworks

General Motors (GM)

Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CA · San Francisco, CA · Sunnyvale, CA
Salary
$129,000–$129,000 / yr
Posted
11 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $129k
$116k most similar roles pay here $248k

This role pays less than 91% of similar roles. Most pay $162,375–$224,325 — the shaded band above. At the midpoint, this role pays about $129k versus about $193k 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 · ML / AI Software Engineer - C++ Metrics Frameworks

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As an AI/ML Engineer on the Metrics Frameworks team within General Motors’ Simulation, Evaluation, and Data organization, you will be a key individual contributor responsible for developing and optimizing infrastructure to accelerate autonomous vehicle (AV) development. Your daily tasks include creating specialized analytics frameworks and tools that empower internal users to build quantitative analysis pipelines, develop metrics, and evaluate feature impact. You will work with Python and C++ in production environments, writing automation scripts and collaborating closely with other teams to enhance productivity through shared libraries and robust tooling. This role requires experience with SQL, time-series data analysis, performance monitoring tools, ROS, Pandas, and visualization libraries, as well as a strong background in software engineering and a commitment to high code quality standards.

Skills

Python C++ SQL BigQuery DuckDB ROS Pandas Airflow DBT Bash Git CI/CD Kubernetes AWS GCP PostgreSQL Prometheus Grafana

What you'll do

  • Design and implement scalable automation tools for test creation, data collection, analysis, debugging, and performance monitoring.
  • Develop customized analytics workflows to extract usable insights from signals received from various sources like simulation and road events.
  • Create extensible and well-tested shared libraries used by multiple engineering teams across the organization.
  • Maintain high technical standards through architectural design and code reviews for robust software solutions.
  • Collaborate with autonomous vehicle engineering teams to enable rapid development and model feedback.

What we're looking for

  • 5+ years of industry experience in software development.
  • Expertise in Python and C++ for production environments.
  • Experience with SQL and time-series data analysis tools.
  • Strong background in developing scalable automation scripts.
  • Familiarity with ROS, Pandas, and visualization libraries.
  • BS degree in Computer Science or related engineering field.

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