Manager, Software Verification

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in CA
Remote
224K-426K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the system testing and integration team in delivering NVIDIA's cutting-edge products, focusing on testing automation, integration, and complex environments.
Summary Generated by Built In

NVIDIA is looking for an experience manager to lead one of our system testing and integration team in Cloud Solution group. This team is responsible for the testing, integration, and delivery of most sophisticated company`s products under growing generative AI market. Current position is focused on leading a group of system engineers.

What you'll be doing:

  • Leading groundbreaking technology qualification processes

  • Designing and testing NVIDIA large scale setups, that mimic Tire I customers data centers work loads

  • Reviewing arch design and requirements for new features introduced in the whole Ethernet/InfiniBand switches and network adaptors portfolio

  • Designing and building setup topologies for an appropriate product coverage with an emphasis on emulation of customer large scale / complex environments

  • Designing for testing automation team, and implementing tests for the new features, as part of growing NVIDIA data center switches and network adaptors portfolio with its software releases cycles. Mentoring team members.

  • Generating comprehensive test reports during release execution procedure, assisting with reproduction and debugs complex customer use cases, with determination of the issue root cause; being an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team

  • Reporting bugs found during execution, assisting with reproduction and debugs to understand root cause, verifying bug fixes provided by R&D team

  • Performing end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Reporting the testing progress and providing summary reports of testing activity

What we need to see:

  • Bachelors/master’s degree in computer science or computer engineering, or equivalent experience

  • 8+ overall years of experience

  • 5+ years experience as a team leader

  • Capable of multi-tasking, and has ability to drive people and tasks

  • Excellent communication and technical presentation skills

  • Strong debugging and analytical skills

  • Fast and self-learner with outstanding technical skills

  • Effective trouble shooting and problem-solving ability

Ways to stand out from the crowd:

  • Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes)

  • Knowledge of networking protocols: InfiniBand, Ethernet

  • Experience in programming

  • Previous experience with Networking deployment based on 1588V2

NVIDIA is 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. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

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 - 425,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 21, 2025.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.

Top Skills

Ethernet
Hyperv
Infiniband
Kubernetes
Kvm
Openstack
VMware
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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