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From the employer's careers site First seen 7 Nov 2026

System and Scheduling Architect - New College Graduate

Salary

124,000 USD – 195,500 USD for Level 2 per year

Apply on NVIDIA

Description

NVIDIA is redefining the next era of computing by leveraging the limitless potential of AI. As an NVIDIAN, you'll work in an inclusive environment that encourages innovation and collaboration. We're seeking a System and Scheduling Architect - New College Graduate to join our team.

The successful candidate will contribute to designing the next-generation GPU system interface, working on a dynamic team focused on artificial intelligence and various product lines. Responsibilities include:

  • Understanding how GPU sub-system modules interact with the overall system
  • Architecting and planning features with software, hardware, and verification teams globally to implement the next iteration of GPUs
  • Creating functional and performance models, often in C++, along with test plans to validate designed features
  • Supporting post-silicon validation activities

Requirements:

  • Recent completion of a Master's or Ph.D. in Computer Architecture, Computer Science, Electrical Engineering, or a related field, or equivalent experience
  • Coursework or experience in Computer Architecture, Operating Systems, and/or System Architecture
  • Strong proficiency in C or C++ coding
  • Ability to create test plans for post-silicon validation activities

Preferred qualifications include knowledge of:

  • Memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, and/or CXL
  • Perl or Python

Your base salary will be determined based on your location, experience, and other objective job-related factors. Expected base salary ranges for this position are: 124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3. You will also be eligible for equity and benefits.

Skills

Required

Nice to have

  • memory isolation and security
  • firmware
  • process scheduling
  • OpenGL
  • DX
  • CUDA
  • DL/ML
  • PCIe
  • AXI
  • NVLink
  • CXL
  • Perl
  • Python
Apply on NVIDIA