Principal Software Engineer, Distributed Training

Job DescriptionWe 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 Job DescriptionBachelors or higher degree in Computer Science or equivalent major8 years professional software engineering experience3 years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML modelsStrong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, or similarExperience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).Willingness to travel to Mountain View as neededComfortable working in highly ambiguous and dynamic environmentsThis 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 GMOur 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 OverviewThe 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 InformationGeneral 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 StatementsGM 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.?SummaryLocation: Mountain View, California, United States of America; Remote - United States; Warren, Michigan, United States of AmericaType: Full time