Overview
On Site
Full Time
Skills
Innovation
Software Engineering
Artificial Intelligence
MPS
Use Cases
Product Launch
Performance Analysis
Optimization
GPU
PyTorch
Computer Science
Electrical Engineering
CUDA
C++
Machine Learning (ML)
Linear Algebra
Algorithms
Cloud Computing
Computer Hardware
Job Details
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it!
Description The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
Responsibilities
Minimum Qualifications
Preferred Qualifications
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 The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
Responsibilities
- Analyze the performance of linear algebra and machine learning algorithms on Apple GPU platforms, pursuing investigations wherever they take you in Apple software.
- With our partner teams in Software Engineering and Hardware Technologies, formulate system-level strategies to address performance problems and unlock the next level of AI performance for our users.
- Work closely with MLX, MPS and CoreML teams on real ML use-cases in an end-to-end co-design effort, from early design exploration up to product launch.
Minimum Qualifications
- BS degree
- Experience with software and hardware performance analysis and optimization
- Experience in GPU programming models such as Metal, CUDA, or similar
- Experience with ML frameworks, for example MLX, Pytorch, or similar
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or equivalent
- 3+ years of relevant industry experience
- Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms
- Experience optimizing LLM inference for low latency at the implementation level
- Experience optimizing LLM inference at scale in the cloud or datacenter
- Ability to communicate across both hardware and software organizations
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.