Physical Design Engineer, Machine Learning
Sunnyvale, California
Summary
At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products.
We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SoCs achieve the optimal Power, Performance, and Area (PPA). We account for every nano watt, every nano meter, and every pico second.
Description
As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
• You will use your experience in physical design and machine learning to solve very hard and unique problems.
• Your work will directly impact vast areas of the flow including RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, design for manufacturing/yield, and beyond.
• You will collaborate cross functionally with design, power, post silicon, CAD, software and machine learning teams in an engaging and rewarding environment.
At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products.
We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SoCs achieve the optimal Power, Performance, and Area (PPA). We account for every nano watt, every nano meter, and every pico second.
Description
As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
• You will use your experience in physical design and machine learning to solve very hard and unique problems.
• Your work will directly impact vast areas of the flow including RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, design for manufacturing/yield, and beyond.
• You will collaborate cross functionally with design, power, post silicon, CAD, software and machine learning teams in an engaging and rewarding environment.
Created: 2024-06-23
Reference: 200509581
Country: United States
State: California
City: Sunnyvale
ZIP: 95002
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:
-
Senior Software Engineer, On-Device Machine Learning, Silicon
Google in Mountain View, California -
Tech Lead Machine Learning Engineer - Applied AIGC, TikTok Monetization GenAI
TikTok in San Jose, California -
Machine Learning Engineer, eCommerce Risk Control
TikTok in San Jose, California -
Postdoctoral Researcher in Machine Learning for Geological Carbon Storage
Lawrence Berkeley National Laboratory in Bay Area, California -
Machine Learning Engineer Graduate (E-commerce Governance Algorithms) - 2025 Start (Phd)
TikTok in San Jose, California -
2024 PhD / Masters Residency - Machine Learning / Finance
X, the moonshot factory in Mountain View, California💸 $118000 - $145000 per year -
Senior Machine Learning Engineer
Apple in Cupertino, California -
Software Engineering Manager, Machine Learning
Meta in Sunnyvale, California -
Senior Machine Learning Engineer, TikTok Core Feed Recommendation - User Growth
TikTok in San Jose, California -
Senior Machine Learning Engineer, Search Engine, E-Commerce Alliance
TikTok in San Jose, California -
Machine Learning Data Associate, Alexa Information \u0026 Ads
Amazon in Santa Barbara, California💸 $31200 per year -
Research Scientist, AI Core Machine Learning (PhD)
Meta in Sunnyvale, California -
Staff Software Engineer, Machine Learning, Google Pixel Watch
Google in Mountain View, California -
Compiler Engineer II - Machine Learning, Annapurna Labs
Amazon in Cupertino, California💸 $129300 per year -
Senior Machine Learning Engineer - USDS (Multiple Positions)
TikTok in Mountain View, California -
Software Engineer III, Machine Learning, Google Assistant
Google in Mountain View, California -
Tech Lead Machine Learning Engineer, Feed Quality
TikTok in San Jose, California -
Machine Learning Engineer
Uber in San Francisco, California💸 $158000 per year -
Machine Learning Engineer - Ads Signal
TikTok in San Jose, California -
AIML - Machine Learning Engineer/Scientist, Siri and Information Intelligence
Apple in Cupertino, California