Principal Staff Software Engineer, AI Training Infrastructure

3 days ago

Mountain View, California, United States LinkedIn Full time
About the Role

We are seeking a highly skilled Principal Staff Software Engineer to join our AI Training Infrastructure team at LinkedIn. As a key member of our team, you will play a crucial role in designing and implementing high-performance AI training pipelines, data I/O, and working with open-source teams to resolve issues in popular libraries like Huggingface, Horovod, and PyTorch.

Responsibilities
  • Design and implement large-scale distributed training for personalized recommendation and large language models.
  • Improve observability and understandability of various systems, focusing on improving developer productivity and system sustenance.
  • Mentor other engineers, define our challenging technical culture, and help build a fast-growing team.
  • Work closely with the open-source community to participate and influence cutting-edge open-source projects.
  • Function as the tech-lead for several concurrent key initiatives for the Training Infrastructure and define the future of AI training platforms.
Requirements
  • BS/BA in Computer Science or related technical field or equivalent technical experience.
  • 7+ years of industry experience in software design, development, and algorithm-related solutions.
  • 7+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala.
  • 5+ years of experience as an architect or technical leadership position.
  • 5+ years of experience in the industry with leading/building deep learning systems.
  • Hands-on experience developing distributed systems or other large-scale systems.
Preferred Qualifications
  • MS or PhD in Computer Science or related technical discipline.
  • 12+ years of experience in software design, development, and algorithm-related solutions with at least 5 years of experience in a technical leadership position.
  • 12+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala.
  • 5+ years of experience with large-scale distributed systems and client-server architectures.
  • Co-author or maintainer of any open-source projects.
  • Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow, and large-scale distributed systems.
  • Familiarity with containers and container orchestration systems.
  • Expertise in deep learning frameworks and tensor libraries like PyTorch, TensorFlow, JAX/FLAX.
What We Offer

At LinkedIn, we offer a competitive compensation package, including annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. We are committed to fair and equitable compensation practices.

Our total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE.

Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability-related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice.

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