Deep Learning Architect - New College Grad 2025

at Nvidia
πŸ“ Durham, United States
USD 120,000-235,800 per year
JUNIOR
βœ… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 Algorithms @ 3 Machine Learning @ 3 Perl @ 3 CUDA @ 2 GPU @ 3

Details

We are now looking for a Deep Learning Architect - New College Grad. NVIDIA is seeking creative programmers and architects who love to squeeze out every cycle of performance from deep learning codes. The team is doing groundbreaking development around computer architecture; building GPUs that are better at deep learning, as well as writing performance optimized code that will be built into all our major libraries. If you have a deep understanding of architecture performance, enjoy working at the intersection of hardware and software, and are passionate about deep learning, this role may be a great one for you.

We are at the forefront of this industry space and would love a chance to talk to you about the work we are doing. In this role, you will write code that ships in our deep learning libraries, as well as guide the course of our future GPU architectures. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

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

Requirements

  • Pursuing a 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

Ways to stand out from the crowd

  • 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

Benefits

You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. Diversity is highly valued in current and future employees with no discrimination based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.