#JR1991789
ut the company
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:
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).
3+ years of industry experience
High-level understanding of Computer Architecture -- CPUs, GPU, AI accelerator, Fabric, Memory Sub System, Networking.
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
Understanding of the many factors influencing performance and power at chip, system, and product levels.
Excellent coding and algorithmic thinking skills.
Experience using and/or developing of cycle-accurate and cycle-approximate performance models.
Strong interpersonal communication and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth.
Ways to Stand Out from the Crowd:
Experience optimizing code (CPU, CUDA, ML networks) for higher performance
Familiarity with custom accelerators, in particular SW/HW interface and programming model
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.