Senior Software Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

MSEE/MSCE or equivalent experience
10+ years of validation experience
Over 5 years of proven experience in Software Quality Engineering & Storage system verification, including significant contributions to QA strategies and test documentation
Proven expertise in Test Framework & automation scripts development, CI/CD experience using Python, SHELL, Ansible, Git & Jenkins, docker containers & Kubernetes
Solid understanding of system-level debugging and analysis tools
Strong communication skills and ability to participate in cross-functional quality initiatives & cross-collaboration with Dev & Product Management teams to understand specification
Excellent design, debugging and problem-solving skills, with a strong bias for action, quality and engineering excellence
Experience in using AI coding assistants to improve coding efficiency and correctness
Ways to stand out
Experience with GPU server architecture and storage validation in Datacenter infrastructure
Hands on & expertise with Kubernetes, Docker containers & Jenkins pipelines
Certifications in storage (e.g., SNIA) or HPC systems or Storage Performance experience with mdtest or FIO tool

Responsibilities

Developing new and extending existing test strategies & executing to guarantee the highest level of quality from both functional and performance perspectives
Designing and developing software that automates the verification of all Data Center Scale infrastructure components using Python
Validation of distributed Storage systems (e.g., Lustre) on AI/HPC Datacenter scale infrastructure
Collaborate with multi-functional teams including application teams, HW designers, networking team, FW, security etc. to debug any HW/SW product issues
Debug, triage issues, perform root cause analysis, verify fixes, define new tests, and improve product test plans
Analyzing and root-causing issues down to the code level, leading the defect fixing process, and bug life cycle management

Skills

Python

Automation

Scripting

Software Validation

Test Strategy

Debug Analysis

Performance Testing

Functional Testing

Datacenter Infrastructure

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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