Pre-Silicon Machine Learning Compiler Engineer
Cupertino, California
Summary
We live in a mobile and device-driven world where Deep Learning technology enables a new class of applications.
Are you passionate about enabling unique user experiences on Apple products; such as Apple Vision Pro, iPhone, iPad, Apple Watch and the Mac? Imagine the countless possibilities powered by Artificial Intelligence!
In the Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads.
The Apple Neural Engine compiler team is working on exciting technologies for future Apple products. We're looking for a driven and dedicated engineer to work on the next generation of Apple products.
Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives!
Will you help us design the next generation of revolutionary Apple Products?
Key Qualifications
Experience with SoC and/or GPU acceleration for Artificial Intelligence
Experience with SW/HW parallelism, and asynchronous processing
Experience with embedded systems, and real time OS development
Experience with low level OS/driver programming
Excellent programming skills of C/C++
Excellent software design, problem solving and debugging skills
Good understanding of Deep Learning workloads
Excellent communication and teamwork skills
Description
In this role, you will be empowered to:
• Implement ML algorithms using Apple Neural Engine SoC, with an emphasis on performance and power
• Add support for new hardware feature into the Apple Neural Engine compiler stack
• Run performance analysis and optimization of ML workloads running on Apple Neural Engine
• Evaluate existing hardware blocks and contribute to the definition of new hardware blocks
• Collaborate with the hardware team to review hardware specifications; in addition, you will work closely with the design and micro-architecture team to understand the functional and performance goals of the design, and design appropriate tests
• Partner with the driver/firmware teams to integrate HW acceleration in our software stack
Education & Experience
BS and a minimum of 10 years relevant industry experience
We live in a mobile and device-driven world where Deep Learning technology enables a new class of applications.
Are you passionate about enabling unique user experiences on Apple products; such as Apple Vision Pro, iPhone, iPad, Apple Watch and the Mac? Imagine the countless possibilities powered by Artificial Intelligence!
In the Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads.
The Apple Neural Engine compiler team is working on exciting technologies for future Apple products. We're looking for a driven and dedicated engineer to work on the next generation of Apple products.
Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives!
Will you help us design the next generation of revolutionary Apple Products?
Key Qualifications
Experience with SoC and/or GPU acceleration for Artificial Intelligence
Experience with SW/HW parallelism, and asynchronous processing
Experience with embedded systems, and real time OS development
Experience with low level OS/driver programming
Excellent programming skills of C/C++
Excellent software design, problem solving and debugging skills
Good understanding of Deep Learning workloads
Excellent communication and teamwork skills
Description
In this role, you will be empowered to:
• Implement ML algorithms using Apple Neural Engine SoC, with an emphasis on performance and power
• Add support for new hardware feature into the Apple Neural Engine compiler stack
• Run performance analysis and optimization of ML workloads running on Apple Neural Engine
• Evaluate existing hardware blocks and contribute to the definition of new hardware blocks
• Collaborate with the hardware team to review hardware specifications; in addition, you will work closely with the design and micro-architecture team to understand the functional and performance goals of the design, and design appropriate tests
• Partner with the driver/firmware teams to integrate HW acceleration in our software stack
Education & Experience
BS and a minimum of 10 years relevant industry experience
Created: 2024-05-07
Reference: 200520033
Country: United States
State: California
City: Cupertino
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
Similar jobs:
-
Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance
Meta in Menlo Park, California -
Senior Director of Engineering, Machine Learning Compiler
Google in Sunnyvale, California -
Compiler Engineer II - Machine Learning, Annapurna Labs
Amazon in Cupertino, California💸 $115000 per year -
Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance
Meta in Menlo Park, California -
Principal Language Design & Compiler Software Engineer
Roblox in San Mateo, California -
Compiler Engineer
Apple in Cupertino, California -
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Amazon in Cupertino, California💸 $134500 per year -
Machine Learning - Compiler Engineer II, Annapurna Labs
Amazon in Cupertino, California💸 $115000 per year -
Senior Languages & Compiler Engineering Manager
Roblox in San Mateo, California -
Apple GPU Compiler Backend Engineer
Apple in Cupertino, California -
GPU Compiler Engineer
Google in Sunnyvale, California -
Swift Compiler Engineer
Apple in Cupertino, California -
Software Engineer, Compiler, AI Inference
Tesla Motors in Palo Alto, California -
CPU Compiler Security Engineer
Apple in Cupertino, California -
SDE Compiler Engineer
Amazon in Cupertino, California💸 $99500 per year -
SRAM Compiler Design Engineer
Apple in Santa Clara Valley (Cupertino), California -
Software Engineering Manager, PyTorch Compiler
Meta in Menlo Park, California -
Software Dev Engineer - Compiler, Annapurna Labs
Amazon in Cupertino, California💸 $88400 per year -
Compiler Integration Engineer
Apple in Cupertino, California -
Pre-Silicon Machine Learning Compiler Engineer
Apple in Cupertino, California