As the world changes direction toward Generative AI, the network has become the computer. We are looking for a visionary leader to head our USA Networking Cluster Validation team, where you will simulate the world’s largest AI data centers to ensure our InfiniBand and Ethernet solutions define the next era of computing. If you want to sit at the epicenter of the AI revolution and push the limits of hyper-scale networking, join us at NVIDIA.
What you’ll be doing:
Lead a high-performance engineering team dedicated to the qualification and integration of groundbreaking Networking AI/HPC cluster solutions.
Direct the design and testing of massive NVIDIA setups that simulate the production workloads of the world’s largest AI data center customers.
Partner with R&D to review architectural designs and requirements for next-generation features across the entire Ethernet and InfiniBand portfolio (switches and network adapters).
Oversee the creation of complex network topologies to ensure comprehensive product coverage, emphasizing the emulation of complex customer environments at scale.
Drive the roadmap for the testing automation team, ensuring seamless integration of new features into the software release cycles for data center products.
Serve as the primary Engineering Lead (PIC) for full verification cycles; assist in debugging complex customer use cases and perform root-cause analysis for critical system issues.
Manage comprehensive testing scopes including Regression, Performance, Functional, and Scale, providing executive-level summary reports on release readiness.
Foster a culture of technical excellence by mentoring team members and driving professional growth within the organization.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
8+ years of overall technical experience in networking or systems engineering.
5+ years of experience in a formal team leadership or engineering management role.
Proven ability to multi-task, drive people toward deadlines, and manage high-priority tasks in a fast-paced environment.
Excellent communication and technical presentation skills; the ability to explain complex technical concepts to both R&D and executive stakeholders.
Strong debugging, analytical, and problem-solving skills with a "fast-learner" approach.
Ways to stand out from the crowd:
Proven experience in testing and qualifying AI cluster infrastructure, including performance tuning for large-scale GPU-to-GPU communication.
Deep experience with technologies like KVM, HyperV, or Kubernetes.
Advanced knowledge of InfiniBand and Ethernet protocols (RDMA, RoCE).
Hands-on experience in programming or scripting (Python, Bash) for automated validation frameworks.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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