Senior Robotics Data Engineer/Data Scientist

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$125,000–$168,650 / yr
Posted
2 days ago
Closes
Jul 10, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $147k
$112k most similar roles pay here $248k

This role pays less than 89% of similar roles. Most pay $162,000–$224,325 — the shaded band above. At the midpoint, this role pays about $147k 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 105 open roles on FindRole.

Listed pay typically runs $170,600–$261,300 across 60 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Senior Robotics Data Engineer/Data Scientist

Join our manufacturing data organization as a Senior Full Stack Robotics Data Engineer / Data Scientist, where you will build the backbone of scalable robotics intelligence by designing and maintaining end-to-end data solutions. You’ll work across data engineering, applied data science, and production software to transform raw robotics data into trusted systems that support analytics, model development, and operational insights. This role requires strong programming skills in Python and another language like Java or C++, experience with big data technologies such as Hadoop and Spark, and hands-on expertise in cloud platforms and machine learning techniques. You will collaborate closely with robotics engineers, manufacturing stakeholders, and software developers to deliver robust solutions that are reliable in production and valuable to the business.

What you'll do

  • Design and maintain data pipelines for robotics and manufacturing data ingestion and processing.
  • Create scalable architectures for multimodal data including sensor streams, telemetry, images, and metadata.
  • Develop high-quality analytic datasets supporting business intelligence, analytics, and decision support.
  • Apply statistical analysis and machine learning to diagnose issues and improve system performance.
  • Build internal tools and APIs that enhance usability, governance, scalability, and reliability of data systems.
  • Enable reproducible analytics through data versioning, lineage tracking, and production-grade MLOps workflows.

What we're looking for

  • Bachelor's degree in Computer Science, Data Science, Robotics, or related field.
  • 5+ years of professional experience in data engineering, software engineering, or machine learning.
  • Strong programming skills in Python and at least one additional language like Java, C++, or Scala.
  • Experience building production-grade data pipelines and backend services at scale.
  • Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, PostgreSQL, Cassandra.
  • Applied data science or machine learning techniques to real-world engineering problems.
  • Strong software engineering fundamentals including version control, testing, CI/CD, documentation.

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