Senior Software Engineer

7 hours ago

Seattle, Washington, United States Apple Full time
Job Summary

As a Senior Software Engineer on the ML Compute team at Apple, you will play a critical role in designing, building, and maintaining the compute infrastructure that enables model training, tuning, and other ML tasks for machine learning, artificial intelligence, and computer vision applications.

Key Responsibilities
  • Own the architecture, design, development, and operations of large-scale systems designed for machine learning.
  • Develop custom scheduling, resource management solutions, and fleet management for our ML model training compute infrastructure.
  • Collaborate with multi-functional teams, integrate with Kubernetes in on-premises and cloud provider clusters, and enable seamless integration with NVIDIA GPUs and other ML accelerators.
  • Partner with data scientists and machine learning engineers across different Apple organizations to define high-impact product features and deliver them with quality.
Requirements
  • Bachelor's degree in Computer Science or related field.
  • 5+ years of industry-related experience, working in collaborative environments.
  • Experience with public cloud infrastructure like Kubernetes, Amazon EC2 and EKS, Google Cloud Platform.
  • Strong software development skills, with proficiency in relevant languages (e.g., Golang, Python).
  • Strong problem-solving skills and ability to write performant and high-quality code.
  • Proficient understanding of the software development process, including unit testing and release management.
  • Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative setting.
Preferred Qualifications
  • Strong understanding of batch scheduling systems and high-performance computing environments.
  • Experience using system monitoring tools, automated testing frameworks, and CI/CD pipelines.
  • Experience with GPUs and/or other ML accelerators in the context of Machine Learning.
  • Passion for making simple, robust, and scalable platforms used by other engineering teams.
  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements.
Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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