AV Safety Engineering Analytics Engineer (GPSSC)

General Motors (GM)

Remote Hybrid

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Work type: Remote
Location: Remote
Posted: 4 days ago

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Similar $175k

$131k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $140,750–$208,450.

Based on 240 similar postings.

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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 131 open roles on FindRole.

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

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TL;DR · AV Safety Engineering Analytics Engineer (GPSSC)

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The AV Safety Engineering Analytics team at General Motors is seeking an experienced AV Safety Analytics Engineer to join their mission-driven group focused on ensuring the safety of autonomous vehicle technologies. As part of this role, you will develop data analytics infrastructure and interactive visualizations that support decision-making across various stages of automated vehicle development and deployment. Your responsibilities include identifying relevant data sources, creating cloud-based continuous up-time analytics pipelines, and optimizing code for efficient execution in a serverless environment. The ideal candidate has extensive experience with Python, SQL, cloud technologies like Docker and Kubernetes, and tools such as Tableau and PowerBI. This role requires expertise in large-scale data analysis of vehicle performance data and a strong background in ADAS or robotics, making it an excellent opportunity for those passionate about advancing autonomous vehicle safety through innovative solutions.

Skills

Python SQL AWS Kubernetes Terraform Docker CI/CD GitHub Jira Poetry Tableau PowerBI Plotly Dash Shiny Pandas NumPy Prometheus Grafana

What you'll do

Develop data analytics infrastructure for safety assurance across automated vehicle development phases.
Create interactive visualizations to enhance transparency in accessing source data.
Define and pilot metrics for monitoring development operations and deployment sufficiency.
Identify relevant data from various sources to support continuous safety monitoring activities.
Develop cloud-based analytics pipelines managing raw data through analyses and visualization.
Apply engineering expertise to distinguish erroneous sensor data from real outliers in analysis.
Optimize code for efficiency and automate cloud-based execution of analytics processes.

What we're looking for

5+ years experience in large-scale data analysis for human and automated driving performance.
Extensive background in ADAS, autonomous vehicles, robotics, or related field.
Proficiency in Python, SQL, cloud-based big data processing technologies.
Experience with descriptive statistics, experimental design, and sampling strategies.
Strong skills in DevOps, infrastructure as code, CI/CD pipelines, and containerization.
Proven track record in large-scale continuous analytics development and deployment.
Expertise in data analysis and visualization tools like Tableau, PowerBI, Plotly/Dash.

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