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Apple AI/ML - ML/HW/SW Co-Design Engineer DMLI United States, Washington, Seattle 733785209
01.08.2024
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Description
As a member of this team, you will use your background to: - Work with ML experts to co-design hardware and software solutions that further improve efficiency of neural workloads at inference time- Implement features in our simulation engine and compiler for next-gen accelerators- Benchmark and diagnose performance bottlenecks of deep learning models- Work with a variety of partners from all parts of the stack — from Apps to Compilation, HW Arch, and Silicon Validation
Minimum Qualifications
- 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
Preferred Qualifications
- 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
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 $166,600 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.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.
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