NVIDIA
Architecture Energy Modeling Engineer - New College Grad 2025
NVIDIA, Santa Clara, California, us, 95053
Architecture Energy Modeling Engineer - New College Grad 2025
Join to apply for the
Architecture Energy Modeling Engineer - New College Grad 2025
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NVIDIA Architecture Energy Modeling Engineer - New College Grad 2025
Join to apply for the
Architecture Energy Modeling Engineer - New College Grad 2025
role at
NVIDIA We are now looking for an Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! 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. 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
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 10, 2025.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.
JR2001215
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Modeling Engineer” roles.
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Join to apply for the
Architecture Energy Modeling Engineer - New College Grad 2025
role at
NVIDIA Architecture Energy Modeling Engineer - New College Grad 2025
Join to apply for the
Architecture Energy Modeling Engineer - New College Grad 2025
role at
NVIDIA We are now looking for an Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! 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. 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
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 10, 2025.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.
JR2001215
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Modeling Engineer” roles.
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Sunnyvale, CA $160,000.00-$200,000.00 1 week ago Research Engineer, AutoAI and Optimization
Mountain View, CA $197,000.00-$291,000.00 6 days ago Machine Learning Research Scientist: Generative Modeling for Planning
Mountain View, CA $152,000.00-$228,000.00 1 day ago Perception Engineer – ML/CV and Algorithms
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San Jose, CA $165,000.00-$223,200.00 4 days ago San Jose, CA $142,700.00-$257,600.00 1 week ago Future Opportunities - Join Our Talent Pipeline for R&D Device Engineer – Mechanical, Electrical, or Software Engineer
Mountain View, CA $170,000.00-$216,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr