NVIDIA is hiring a Hardware Performance Engineer to model and analyze next generation SoC solutions. We are looking for special individuals with a passion and desire to build innovative products. Together, we will develop the next generation of life-changing SoC's. Do you have in-depth knowledge of SoC Architectures and are brimming with ideas on how to improve them? Then this is the opportunity for you!
What you'll be doing:
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Quickly model and study user workloads on existing hardware, at both the IP level and the SoC level
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Propose modifications to existing architectures at a block level or chip level to better meet user workload requirements.
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Develop and/or evaluate potential optimizations including CPU/GPU optimizations and ML architecture optimizations
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Generate estimates of performance improvement and power impact, and promote proposals to teams throughout the company
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We work with external customers to understand and characterize their unique user workloads, and translate that understanding into resource utilization
What we need to see:
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Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).
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3+ years of industry experience
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High-level understanding of Computer Architecture -- CPUs, GPU, AI accelerator, Fabric, Memory Sub System, Networking.
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Workload analysis and characterization. Understand different types of workloads, experience with tools and theory on how to do workload analysis. ARM-based tools a plus
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Understanding of the many factors influencing performance and power at chip, system, and product levels.
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Excellent coding and algorithmic thinking skills.
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Experience using and/or developing of cycle-accurate and cycle-approximate performance models.
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Strong interpersonal communication and teamwork skills.
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A drive to continuously learn and expand architectural breadth and depth.
Ways to Stand Out from the Crowd:
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Experience optimizing code (CPU, CUDA, ML networks) for higher performance
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Familiarity with custom accelerators, in particular SW/HW interface and programming model
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Knowledge of current performance analysis and modeling tools
The base salary range is 128,000 USD - 258,750 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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