Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML

Apple Inc.
Cupertino, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$181,100.0 - $318,400.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) C++ (Programming Language) Nvidia CUDA Computer Programming Hardware Design Machine Learning OpenCL Tensorflow Graphics Processing Unit (GPU) Pytorch Gpu Programming Information Technology
+1 more
Api Design

Job description

The Pre-silicon Compute Frameworks team is responsible for API design and development across Metal and Metal compute frameworks for upcoming hardware features in future Apple Silicon GPUs.

As a member of this team, you will contribute to API design, development, and performance analysis across Metal and Metal compute frameworks for future Apple Silicon GPUs. Along with API development, you will develop critical compute and ML use cases to showcase new features.

You will partner with other leaders across Apple software and hardware organizations to propose, develop, and evaluate hardware features for new silicon generations from emulation through silicon.

ā€,ā€responsibilitiesā€:ā€Develop and deliver software representing Apple’s roadmap for compute and ML technologies during hardware development.

Design APIs that enable developers to make full use of new hardware features in the simplest way possible.

Partner with cross-functional teams to ensure our software and hardware roadmap includes the state-of-the-art features and performance.

Contribute to the bring-up and verification of new chips and products using our new GPUs.

Requirements

Do you have experience in Operating systems?, Do you have a Bachelor’s degree?, Experience collaborating in large cross functional projects

Familiarity with Apple framework and API design patterns

Hands on experience with ML frameworks (PyTorch, JAX, CoreML)

Minimum Qualifications

BS/MS/PhD or equivalent in Computer Science or related field with 5 years experience.

Strong grasp and practical experience with at least one GPU compute APIs (Metal, CUDA, OpenCL, etc.)

Good understanding of machine learning fundamentals and familiarity with ML frameworks (PyTorch, JAX, CoreML)

Knowledge of Operating Systems, Computer Architecture, and CPU/GPU programming

Strong background in C/C++ programming

Benefits & conditions

4.14.1 out of 5 stars Cupertino, CA $181,100 - $318,400 a year, Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, 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 $181,100 and $318,400, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:39 min

Fundamentals of tensors and the TensorFlow library

HÄkan Silfvernagel · LIVE

1:42 min

Navigating emerging hardware standardization in vendor programming ecosystems

Paul Graham Paul Graham Ā· LIVE

2:35 min

Preventing remote code execution in PyTorch models

BalÔzs Kiss · WWC 2023

40 sec

Navigating Apple's evolving on-device AI and machine learning stack

Precious Osaro Precious Osaro Ā· WWC Europe 2026

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer Ā· WWC 2021

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 Ā· WWC Europe 2026

Videos

See all

Related articles

See all