Software Engineer, Metrics Frameworks

General Motors (GM)

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $123,200–$123,200 / yr
Posted: 83 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k

This role $123k

$112k most similar roles pay here $226k

This role pays less than 87% of similar roles. Most pay $142,350–$203,915 — the shaded band above. At the midpoint, this role pays about $123k versus about $173k 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.

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View all roles at General Motors (GM)

At a glance

TL;DR · Software Engineer, Metrics Frameworks

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As a Senior Software Engineer on the Metrics Frameworks team at General Motors, you will lead the development of tooling to monitor and improve data quality in pipelines supporting road event monitoring, data mining, training, and simulation metrics. Your responsibilities include designing and implementing scalable automation tools for inspecting data ingestion, processing, debugging, and performance monitoring, as well as building telemetry, data quality inspection tooling, dashboards, and alerting systems. You will work with Python, OLAP databases like BigQuery, data orchestration tools such as Airflow, and full-stack frameworks including Nest.js and React to handle petabytes of testing data and enable low-latency insights for AV testing performance. This role requires experience in the Autonomous Vehicle industry, familiarity with ROS and machine learning frameworks, and a strong background in Python, SQL, and C++ for high-performance framework development.

Skills

Python Airflow DBT BigQuery Databricks DuckDB Nest.js React Django ROS C++ Bash SQL CI/CD Kubernetes Git GitHub Jenkins Prometheus Grafana PostgreSQL MongoDB Redis AWS Azure Google Cloud Platform Terraform Docker Kafka Spark Hadoop

What you'll do

Lead the design and implementation of tooling to monitor data quality from various sources.
Develop scalable automation tools for inspecting data ingestion, processing, debugging, and performance monitoring.
Optimize data processing pipelines to handle large volumes of testing data efficiently.
Collaborate with other teams to build and deploy tools that improve developer productivity and data reliability.
Work closely with autonomous vehicle engineering teams to enable rapid iteration and metrics-driven decision-making.
Maintain high code quality through architectural and code reviews.

What we're looking for

5+ years of industry experience in software engineering or data engineering.
Proficiency in Python for production environments including unit testing and code reviews.
Experience with OLAP databases, SQL technologies, and time-series data analysis.
Expertise in data orchestration tools like Airflow and DBT for large-scale data processing.
Familiarity with ROS, C++ bindings, and visualization libraries relevant to AV or robotics.
BS degree in Computer Science, Engineering, or a related technical field.
Knowledge of machine learning frameworks and their application in testing automation.

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