Deep Learning Architect – New College Grad 2024
Confirmed live in the last 24 hours
NVIDIA

10,001+ employees

Designer & manufacturer of computer chips & graphics processors
Company Overview
NVIDIA is on a mission to solve the world's most stimulating technology problems – in industries ranging from gaming to scientific exploration.
AI & Machine Learning

Company Stage

Grant

Total Funding

$4.2B

Founded

1993

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

13%

1 year growth

5%

2 year growth

21%
Locations
Santa Clara, CA, USA • Durham, NC, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
CUDA
Data Analysis
Data Structures & Algorithms
Perl
Python
CategoriesNew
AI & Machine Learning
Hardware Engineering
Software Engineering
Requirements
  • Completing your MS or PhD in a relevant discipline (CS, EE, Math) or equivalent experience
  • Strong mathematical foundation in machine learning and deep learning
  • Expert programming skills in C, C++, Perl, or Python
  • Familiarity with GPU computing (CUDA, OpenCL) and HPC (MPI, OpenMP)
  • Strong knowledge and coursework in computer architecture
Responsibilities
  • Develop innovative HW, DSP, GPU and system architectures to extend the state of the art in deep learning performance and efficiency
  • Analyze and prototype key deep learning and data analytics algorithms and applications
  • Understand and analyze the interplay of hardware and software architectures on future algorithms and applications
  • Collaborate across the company to guide the direction of machine learning, working with software, research and product teams
Desired Qualifications
  • Background with systems-level performance modeling, profiling, and analysis
  • Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results