Overview
USD 143,100.00 - 264,200.00 per year
Full Time
Skills
API
CPU
Analysis Of Algorithms
Debugging
Computer Architecture
Operating Systems
Data Structure
Algorithms
Workflow
Computer Hardware
MPS
PyTorch
TensorFlow
Keras
UIKit
Qt
Swift
UI
User Experience
Machine Learning (ML)
Microsoft Direct3D
OpenGL
GPU
C
C++
Payments
Job Details
Apple's Graphics, Games, and Machine Learning Software team develops Metal, an API for GPU programming that allows efficient use of the GPU and minimizes CPU overhead. The Metal Developer Tools team is responsible for developing * Metal Debugger - a full featured GPU debugger and profiler, * Metal System Trace - a CPU and GPU runtime analysis tool for Metal, * MPS Graph viewer - a highly performant visualizer for ML networks. The Metal Developer Tools team is looking for an engineer who is excited to shape the future of developer tools for debugging ML networks. The ideal candidate will have a passion for creating the best possible visualizations and analysis tools for machine learning, and have a strong background in debugging and optimizing networks for on-device inference.
Description In this role, you'll be responsible for developing new workflows and analysis tools that help machine learning, graphics, and pro app developers debug and optimize their networks for on-device inference for the entire gamut of Apple Silicon SoCs. Building on a strong foundation of computer architecture and operating system fundamentals, data structure and algorithms, you'll write highly efficient code to analyze large models, then creatively design intuitive workflows and visualizations for finding and addressing numerical inaccuracies, performance bottlenecks or other issues. You will be working closely and collaboratively with partners across both software and hardware teams to fully realize the capabilities of Apple's best in class GPUs.
Minimum Qualifications
Preferred Qualifications
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 $143,100 and $264,200, 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 seek to promote 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 .
Description In this role, you'll be responsible for developing new workflows and analysis tools that help machine learning, graphics, and pro app developers debug and optimize their networks for on-device inference for the entire gamut of Apple Silicon SoCs. Building on a strong foundation of computer architecture and operating system fundamentals, data structure and algorithms, you'll write highly efficient code to analyze large models, then creatively design intuitive workflows and visualizations for finding and addressing numerical inaccuracies, performance bottlenecks or other issues. You will be working closely and collaboratively with partners across both software and hardware teams to fully realize the capabilities of Apple's best in class GPUs.
Minimum Qualifications
- Technical BS/MS degree / Equivalent Experience.
- Technical expertise in Machine Learning inference using frameworks such as MPS Graph, CoreML, PyTorch, TensorFlow, Keras etc.
- Excellent programming skills and UI frameworks such as SwiftUI, UIKit, AppKit, Qt etc.
Preferred Qualifications
- Technical expertise in Swift
- Experience with designing intuitive UI/UX
- Experience developing on-device ML analysis and profiling tools
- Experience with GPU APIs such as Metal, Direct3D, Vulkan or OpenGL
- Technical expertise in the area of GPU performance optimizations or GPU architecture
- Bonus points for C/C++
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 $143,100 and $264,200, 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 seek to promote 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.