Senior Inference Performance Architect

4 weeks ago


Durham, North Carolina, United States NVIDIA Full time

We are seeking a talented Deep Learning Performance Optimization Specialist to join our team at NVIDIA. As a key member of our Deep Learning Architecture team, you will play a critical role in analyzing and accelerating AI application performance at the intersection of hardware and software.

Our team is responsible for building real-time, cost-effective computing platforms that drive our success in the rapidly growing field of AI computing. As a Deep Learning Performance Optimization Specialist, you will work closely with software, product, and research teams to guide the direction of deep learning HW and SW.

Key responsibilities include:

  • Analyzing performance and power efficiency of deep learning inference workloads
  • Understanding and analyzing the interplay of hardware and software architectures on forward-looking algorithms, programming models, and applications
  • Identifying and prototyping opportunities for performance optimization

Requirements include:

  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
  • 6+ years of relevant work/research experience
  • Solid foundation in machine learning and deep learning
  • Excellent programming skills in Python, C, C++
  • Strong background in computer architecture
  • Experience with performance modeling, architecture simulation, profiling, and analysis

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We value diversity in our current and future employees and do not discriminate 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.


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