Summary

Description

Minimum Qualifications

• Strong background in computer science: algorithms, data structures and system design
• 10+ year experience on large scale distributed system design, operation and optimization
• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow
• Excellent interpersonal skills able to work independently as well as cross-functionally

Preferred Qualifications

• Proficient in building and maintaining systems written in modern languages (e.g. Golang, Python)
• Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
• Familiarity with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server etc.

Pay & 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 $175,800 and $312,200, 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. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  

• 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. Learn more about your EEO rights as an applicant.