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Senior Software Engineer, Subnet Management

External
NVIDIA logoNvidia · Santa Clara, CA
Full-timeOn-site3w ago
Express
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Responsibilities

  • Design, develop and optimize server application responsible for managing NVLink networks of thousands of network devices!
  • Collaborate with multiple teams in our multi-functional environment on developing new features and improvements.
  • Participate in the design and architecture of new next generation network solutions for super computers.
  • Manage issues during integration, testing, deployment & QA.
  • Work and collaborate with team members in different geographical locations.
  • What we need to see:
  • BSc. or MSc. in Computer Engineering or Computer Science (or equivalent experience).
  • 8+ years of experience as Software Engineer.
  • Proficient knowledge in C/C++.
  • Strong analytical skills, deep knowledge of algorithms and proficiency with data structures.
  • Self and quick learning abilities.
  • Ways To Stand Out From The Crowd:
  • Knowledge of network topologies design and routing algorithms.
  • Experience in performance optimizations.
  • Demonstrated use of creative ideas, providing solutions to challenging problems.
  • Excellent social and written communication skills.
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits .
  • Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.

Additional Information

NVIDIA is seeking a skilled Senior Software Engineer to join our Subnet Manager team. This team develops network management software that configures network devices and routing tables of NVLink and large-scale InfiniBand networks powering the world's most advanced supercomputers. In this role, you will design and implement new features, and collaborate closely with different teams across NVIDIA to deliver robust and scalable networking solutions. This position offers a rare opportunity to influence the architecture and development of our software, contributing directly to the world's leading AI and HPC systems.


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