Principal Software Engineer, AI Platform (ADAS)

Posted 6 Hours Ago
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Remote
225K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
The Principal Software Engineer will design, develop, and maintain the AI/ML platform infrastructure, focusing on scalable solutions for training complex models on large datasets. Responsibilities include enhancing platform functionality, managing resource utilization, developing model tracking tools, and collaborating with cross-functional teams to integrate new features.
Summary Generated by Built In

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.
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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, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] 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.

Top Skills

Python

What the Team is Saying

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The Company
Mountain View, CA
165,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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General Motors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Mountain View, CA

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