Summary

Posted: Jul 30, 2024

Weekly Hours: 40

Role Number:200555473

The Data and Machine Learning Innovation (DMLI) team employs ML/HW/SW co-design to achieve best-in-class performance and energy efficiency for numerous use cases that deploy neural networks. We seek a generalist to help define and implement features that would be realized in next-gen neural accelerators. Our team is comprised of HW, SW, and ML engineers working together in the area of Efficient ML. Our charter is to push the frontiers of perf and power for AI inference. As a co-design engineer, you will be accountable for bridging the gap between ML and devices. This including working with ML, computer architecture and SW teams to understand the trade-offs from various viewpoints when it comes to ML inference, keeping abreast of advancements in the ML efficiency techniques space particularly for Generative AI, and come up with novel solution that addresses the ever growing needs for the future ML workloads. On a day-to-day basis, your responsibilities include but not be limited to: architecting energy-efficient hardware designs, implementing changes in an in-house simulator, implementing new features in an in-house compiler and working with ML engineers to optimize their networks for HW acceleration. Our ideal team member is courageous when it comes to trying new things, is adept at reasoning about systems performance, and is willing to iterate on ideas. We value team members with strong communication skills with experience working cross-functionally with HW, SW, and ML teams.

• Bachelor's, Masters or PhD degree in Electrical Engineering, Computer Science, or a related field
• 5+ years of experience working on ML inference performance optimization either in SW or HW space
• Proficient in Python, working knowledge of C++
• Proficiency in algorithms and coding skills to optimize a workload and solve hard problems in scheduling, allocation and tune solutions to the details of an architecture platform

• Deep understanding of computer systems and the interactions between HW and SW
• Strong communicator with ability to analyze complex and ambiguous problems
• Experience with backend compilation, ML/HW/SW co-design, and/or performance optimization
• Familiarity with ML model efficiency techniques (e.g., quantization, pruning) and what are their bottlenecks at inference time

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 $250,600, 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.