Manager, Software Verification

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, Networking HardwareIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science or Computer Engineering, or equivalent experience, with over 8 years of overall experience and at least 5 years in a team leadership role. Required skills include multitasking, the ability to drive people and tasks, excellent communication and technical presentation skills, strong debugging and analytical abilities, and being a fast, self-learner with outstanding technical skills and effective troubleshooting and problem-solving capabilities. Experience with virtualization technologies like KVM, HyperV, VMWARE, OpenStack, and Kubernetes, knowledge of networking protocols such as InfiniBand and Ethernet, previous programming experience, and prior experience with networking deployment based on 1588V2 are considered advantageous.

Responsibilities

The Manager, Software Verification will lead a system testing and integration team within the Cloud Solution group, focusing on the testing, integration, and delivery of sophisticated products in the generative AI market. Responsibilities include leading technology qualification processes, designing and testing large-scale NVIDIA setups that mimic customer data center workloads, reviewing architecture designs and requirements for new features in Ethernet/InfiniBand switches and network adaptors, and designing test automation for new features. The role also involves mentoring team members, generating comprehensive test reports, assisting with reproduction and debugging of complex customer use cases to determine root causes, acting as an engineering point of contact for customer use case fixes, reporting bugs, verifying bug fixes, and performing end-to-end test scenarios including Regression, Performance, Functional, and Scale testing, while reporting progress and providing summary reports of testing activity.

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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