NVIDIA

Manager, Software Verification

California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Artificial Intelligence, Networking HardwareIndustries

Job Description: Engineering Manager, Systems Testing and Integration

Position Overview

NVIDIA is seeking an experienced Engineering Manager to lead a system testing and integration team within the Cloud Solutions group. This team is instrumental in the testing, integration, and delivery of NVIDIA's sophisticated products, particularly in the rapidly growing generative AI market. The role focuses on leading a team of system engineers in cutting-edge technology qualification and large-scale system validation.

Employment Type

Full-time

Location Type

Hybrid

Salary

The base salary range is $224,000 - $425,500 USD. The final salary will be determined based on location, experience, and internal pay equity. Eligibility for equity and benefits is also provided.

What You'll Be Doing

  • Leading groundbreaking technology qualification processes.
  • Designing and testing NVIDIA's large-scale setups, mimicking Tier 1 customer data center workloads.
  • Reviewing architecture designs and requirements for new features across the entire Ethernet/InfiniBand switches and network adapters portfolio.
  • Designing and building setup topologies for comprehensive product coverage, emphasizing emulation of customer large-scale/complex environments.
  • Designing for the testing automation team and implementing tests for new features as part of NVIDIA's growing data center switches and network adapters portfolio and its software release cycles.
  • Mentoring team members.
  • Generating comprehensive test reports during release execution procedures.
  • Assisting with the reproduction and debugging of complex customer use cases, determining the root cause of issues.
  • Serving as the engineering point of contact (PIC) for full verification cycles of customer use case fixes provided by the R&D team.
  • Reporting bugs found during execution, assisting with reproduction and debugging to understand root causes, and verifying bug fixes provided by the R&D team.
  • Performing end-to-end test scenarios across various scopes: Regression, Performance, Functional, and Scale.
  • Reporting testing progress and providing summary reports of testing activities.

What We Need to See

  • Bachelor's or Master's degree in Computer Science or Computer Engineering, or equivalent experience.
  • 8+ years of overall experience.
  • 5+ years of experience as a team leader.
  • Capability to multitask and drive people and tasks effectively.
  • Excellent communication and technical presentation skills.
  • Strong debugging and analytical skills.
  • Fast and self-learner with outstanding technical skills.
  • Effective troubleshooting and problem-solving abilities.

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.

Company Information

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!

NVIDIA accepts applications on an ongoing basis. 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.

Skills

System Testing
Integration
Generative AI
Team Leadership
Technology Qualification
Network Architecture
Ethernet
InfiniBand
Test Automation
Data Center Networking
Regression Testing
Performance Testing
Functional Testing
Scale Testing
Bug Reporting
Root Cause Analysis
Communication

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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