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