Principal Software Engineer, Distributed Training

Qualifications
Bachelors or higher degree in Computer Science or equivalent major
8+ years professional software engineering experience
3+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, or similar
Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure)
Willingness to travel to Mountain View as needed
Comfortable working in highly ambiguous and dynamic environments
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment
Benefits
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
Total Rewards | Benefits Overview
Responsibilities
In this role, you will be responsible for designing, developing, and maintaining our AI/ML platform infrastructure
You will work closely with data scientists, machine learning engineers, and software developers to enhance our platform's capabilities for training complex models on large datasets efficiently
Your contributions will directly impact our ability to scale and deploy cutting-edge AI solutions
Foundational AI/ML platform functionality development such as designing and developing scalable infrastructure to support training of machine learning models on large datasets
Implementing mechanisms to monitor and manage resource utilization across multi-GPU on-prem and cloud environments
Enhance machine learning platform abstractions and APIs to improve usability and productivity for data scientists and engineers
Develop and maintain tools for model versioning, experiment tracking, and reproducibility
Collaborate with cross-functional teams to integrate new features and technologies into the platform
This means the successful candidate is expected to report to Mountain View three times per week, at minimum
Job description
Description
We are seeking a highly skilled AI/ML Platform Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining our AI/ML platform infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to enhance our platform's capabilities for training complex models on large datasets efficiently. Your contributions will directly impact our ability to scale and deploy cutting-edge AI solutions.
• Foundational AI/ML platform functionality development such as designing and developing scalable infrastructure to support training of machine learning models on large datasets.
• Implementing mechanisms to monitor and manage resource utilization across multi-GPU on-prem and cloud environments.
• Enhance machine learning platform abstractions and APIs to improve usability and productivity for data scientists and engineers.
• Develop and maintain tools for model versioning, experiment tracking, and reproducibility.
• Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Additional Description
• Bachelors or higher degree in Computer Science or equivalent major
• 8+ years professional software engineering experience
• 3+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models
• Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, or similar
• Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
• Willingness to travel to Mountain View as needed
• 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. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful 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 encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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