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Senior Inference Performance Architect - Deep Learning

NVIDIA

2.7

(9)

Multiple Locations

#JR1987767

Position summary

looking algorithms, programming models and applications

  • Identify and prototype opportunities for performance optimization

  • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

  • 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

  • A track record of creative solutions to technical challenges

Ways to stand out from the crowd:

  • CUDA programming skills

  • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)

  • Experience with the architecture of or workload analysis on GPUs or other DL accelerators

Increasingly known as "the AI computing company", NVIDIA wants you! Come join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.

#LI-Hybrid

The base salary range is 180,000 USD - 339,250 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.

#deeplearning