Senior Software Engineer - Vehicle Data & AI Systems

General Motors

Austin (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading automotive company is seeking a Senior Software Engineer for Vehicle Engineering and Quality. This role focuses on developing AI-enabled software applications and managing complex data requirements. Candidates must have strong skills in Java, Python, SQL, and experience with data pipelines in cloud platforms like Azure. This position offers the chance to mentor others while applying best practices in an Agile environment. Competitive candidates will have extensive experience in modern DevOps practices and an ownership mindset.

Qualifications

  • 5+ years of experience delivering enterprise software solutions using Java and Python.
  • 3+ years of experience with complex SQL queries and performance tuning.
  • Experience building data pipelines on distributed/cloud platforms.
  • Hands-on experience with DevOps practices and CI/CD pipelines.

Responsibilities

  • Develop and maintain AI-enabled applications for engineering.
  • Write high-performance SQL for data transformations.
  • Build and optimize data workflows using Databricks.
  • Develop APIs integrating business rules and user workflows.
  • Lead solution design aligned with company standards.

Skills

Java
Python
SQL
Kubernetes
Databricks
Agile/SCRUM
DevOps practices
Angular

Education

Bachelor’s Degree in Computer Science or related field

Tools

SQL Server
PostgreSQL
Azure
AWS
GCP

Job description

A leading automotive company is seeking a Senior Software Engineer for Vehicle Engineering and Quality. This role focuses on developing AI-enabled software applications and managing complex data requirements. Candidates must have strong skills in Java, Python, SQL, and experience with data pipelines in cloud platforms like Azure. This position offers the chance to mentor others while applying best practices in an Agile environment. Competitive candidates will have extensive experience in modern DevOps practices and an ownership mindset.
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