Role at a glance
- Salary
- $100K – $189.8K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience
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Role Summary
The Applied Power Architecture team develops power estimation models and tools for NVIDIA GPUs and systems such as NVIDIA DGX. The role supports GPU and datacenter architecture exploration, performance-per-watt improvements, and modeling of workloads and technologies for AI, HPC, and other products.
What You'll Do
- Contribute to power estimation models and tools for GPU products and systems like NVIDIA DGX.
- Perform early GPU and system architecture exploration focused on energy efficiency and TCO improvements at GPU and datacenter level.
- Help with Performance vs Power Analysis for NVIDIA future product lineup.
- Deploy machine learning techniques to develop power and performance models of GPUs, CPUs, switches, and platforms.
- Understand workload characteristics for GenAI/HPC workloads at Datacenter Scale to drive new HW/SW features for Perf@Watt improvements.
- Model and analyze high-speed and high-density interconnects.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Knowledge of energy efficient chip design fundamentals and related tradeoffs; familiarity with multi-VT, clock gating, power gating, and DVFS; understanding of processors, system-SW architectures, and performance/power modeling techniques; proficiency with Python, Pandas, NumPy, and PyTorch; familiarity with performance monitors/simulators used in modern processor architectures.
Required
- Electrical Engineering, Computer Engineering, or equivalent experience
- Knowledge of energy efficient chip design fundamentals and related tradeoffs
- Familiarity with multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)
- Understanding of processors, system-SW architectures, and performance/power modeling techniques
- Proficiency with Python and data analysis packages like Pandas, NumPy, PyTorch
- Familiarity with performance monitors/simulators used in modern processor architectures
Preferred
- GPU is a plus
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are looking for a Datacenter GPU Power Architect - New College Grad!
NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power Architecture team to develop state of the art GPUs to power AI, HPC, Automotive, GeForce, and Mobile products.
What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis for NVIDIA future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.