Principal Software Engineer, AI Platform (Data)

Work From Home - United States

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General Motors

General Motors is home to Buick, Cadillac, GMC & Chevrolet. Learn about General Motor's rich history and dedication to community, sustainability, & innovation.

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Job Description

Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. 

This job may be eligible for relocation benefits. 

We are seeking a technical expert to join our team and lead efforts in designing and implementing robust data ingestion, access, management, and processing systems to power our AI platform. As a pivotal member of our engineering team, you will be instrumental in improving our data infrastructure, particularly focusing on enhancing developer access to vehicle development logs and building efficient data pipelines between on-premises and cloud environments.

  • *Architect and develop a modern system for ingesting and indexing vehicle data from our development and customer fleet

  • Develop an access abstraction layer that simplifies how developers interact with data.

  • Ensure scalability, reliability, and performance of the system to load and train on large volumes of data efficiently.

  • Automate the extraction, transformation, and loading (ETL) of logs from vehicle systems to a centralized data platform.

  • Design and build a data platform capable of seamless data movement between on-premises data centers and cloud environments (public and private).

  • Utilize technologies such as DreamIO, Spark, and Airflow to orchestrate and monitor data workflows.

  • Provide technical guidance and mentorship to junior team members.

  • Propose and implement additional solutions to optimize data infrastructure and enhance developer productivity.

Additional Job Description

  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.
  • Proven experience (8+ years) in designing and building scalable data platforms and data pipelines.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar
  • Hands-on experience with big data technologies (e.g., Spark, Kafka, Databricks) and cloud platforms (AWS, Azure, GCP).
  • In-depth understanding of network stacks, including protocols such as TCP/IP, HTTP, DNS, and others
  • Expertise in SQL and NoSQL databases, data warehousing concepts, and ETL processes.
  • Comfortable working in highly ambiguous and dynamic environments.

This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role is $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

An incentive pay program offers payouts based on company performance, job level, and individual performance.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.


We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.  If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​

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Tags: Airflow AWS Azure Big Data Computer Science Databricks Data pipelines Data Warehousing Engineering ETL GCP Java Kafka Machine Learning NoSQL Pipelines Python PyTorch Spark SQL TensorFlow

Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Parental leave Relocation support

Regions: Remote/Anywhere North America
Country: United States

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