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Advanced Micro Devices
Santa Clara, CA, United States
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpi
Job Source: Advanced Micro DevicesApple
Cupertino, CA, United States
Touch Sensor Architecture and Modeling Engineer Cupertino,California,United States Hardware The Opaque Touch and Sensing team develops cutting-edge Touch solutions and technologies that are central to Apples products, including the MacBook Pro, Mac Book Air, AirPods Pro, Apple Pencil, HomePod, Apple TV Siri Remote, Magic Mouse and Magic TrackPad. Y
Job Source: AppleApple, Inc.
Cupertino, CA, United States
Summary Posted: May 16, 2024 Role Number: 200551655 The Opaque Touch and Sensing team develops cutting-edge Touch solutions and technologies that are central to Apple's products, including the MacBook Pro, Mac Book Air, AirPods Pro, Apple Pencil, HomePod, Apple TV Siri Remote, Magic Mouse and Magic TrackPad. You will be part of a team developing
Job Source: Apple, Inc.Apple Inc.
Santa Clara, CA, United States
GPU Energy Modeling and Analysis Engineer Do you love creating elegant solutions to highly complex challenges? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly handle the ta
Job Source: Apple Inc.Apple
Santa Clara, CA, United States
GPU Energy Modeling and Analysis Engineer Santa Clara, California, United States Description Develop micro-architectural level energy models for early power estimation, what-if analysis, perf per watt tradeoff analysis, and power targets. Analyze and provide insight into power consumption throughout the GPU and where opportunities to reduce energy
Job Source: AppleApple, Inc.
Santa Clara, CA, United States
GPU Energy Modeling and Analysis Engineer Summary Posted: Mar 27, 2024 Role Number: 200541524 Do you love creating elegant solutions to highly complex challenges? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure A
Job Source: Apple, Inc.Apple, Inc.
Cupertino, CA, United States
Summary Posted: Dec 12, 2023 Role Number: 200528323 Do you love crafting elegant solutions to complex problems? Do you enjoy learning how systems work from the big picture down to the smallest detail? As part of the SoC Performance group, you'll work with a diverse set of cross-functional teams to help architect, optimize, and ship our industry-
Job Source: Apple, Inc.Apple Inc.
Cupertino, CA, United States
SoC Cache Architecture Performance Modeling Engineer, Platform Architecture Do you love crafting elegant solutions to complex problems? Do you enjoy learning how systems work from the big picture down to the smallest detail? As part of the SoC Performance group, you’ll work with a diverse set of cross-functional teams to help architect, optimize
Job Source: Apple Inc.Santa Clara, CA, United States
Senior Architecture Energy Modeling Engineer page is loaded Senior Architecture Energy Modeling Engineer Apply locations US, CA, Santa Clara time type Full time posted on Posted 3 Days Ago job requisition id JR1978301 We are now looking for an Architecture Energy Modeling Engineer!
At NVIDIA, we pride ourselves in having energy-efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs. As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.
What you'll be doing:
Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
Identify key design features and workloads for building Machine Learning based unit power/energy models.
Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
Develop methodologies to estimate data movement power/energy accurately.
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
Identify, suggest, and/or participate in studies for improving GPU perf/watt.
What we need to see:
MS (or equivalent experience) with proven experience or PhD in related fields.
3+ years of experience.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written communication and interpersonal skills.
The base salary range is 124,000 USD - 247,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Similar Jobs (5) SoC Silicon Power Analysis Engineer locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior Power Optimization and Analysis Engineer locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago Senior GPU Performance Architect, AI Applications locations US, CA, Santa Clara time type Full time posted on Posted 30+ Days Ago
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
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Email Alert for Senior Architecture Energy Modeling Engineer jobs in Santa Clara, CA, United States
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