[Remote] Data Center Quality Program Manager at NVIDIA

Washington, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Centers, SemiconductorsIndustries

Requirements

Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field, or equivalent experience
12+ years working directly with engineering teams with demonstrated technical program management experience
More than 7 years of practical program or project management expertise being responsible for intricate technology ventures involving teams with multifaceted strengths
5+ years of software development experience with proficiency in programming languages
5+ years leading hardware product development and new product introduction on a global manufacturing scale
Deep technical expertise in server, network, or storage product architecture and manufacturing test development
Strong understanding of large-scale distributed systems, data center infrastructure, and enterprise network architecture
Experience with Linux/Unix or Windows system administration, database management, and infrastructure automation
Demonstrated ability to lead programs across multiple teams, handle project scope, schedule, budget, and quality, and maintain executive-level relationships

Responsibilities

Lead sophisticated programs focused on improving the quality and efficiency of data center infrastructure, hardware, and software domains with multi-year strategic roadmaps
Drive technical execution from requirements gathering through production launch, including writing technical specifications, coordinating release schedules, and ensuring operational readiness across multiple team dependencies
Own server hardware development, testing, and integration efforts for computing products, working closely with original design manufacturers and contract manufacturers on new product introductions at global manufacturing scale
Partner with software development teams to build automation programs for large-scale infrastructure testing and develop solutions that enhance operational performance across highly concurrent, high-throughput distributed systems
Guide enterprise network infrastructure and data center operations initiatives covering servers, storage, networking, power, and cooling systems while serving as domain leader for manufacturing test infrastructure
Lead continuous improvement initiatives for engineering processes, quality management, and operational excellence while leading risk mitigation strategies and critical path oversight
Build trusted partnerships across hardware teams, security professionals, supply chain, operations, and product management to drive technical decisions and resolve sophisticated multi-functional dependencies

Skills

Key technologies and capabilities for this role

Program ManagementData Center InfrastructureHardware DevelopmentSoftware AutomationTestingIntegrationTechnical SpecificationsRelease ManagementManufacturingServersStorageNetworkingPower SystemsCooling SystemsQuality ManagementDistributed Systems

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience) is required, along with 12+ years working with engineering teams in technical program management, 7+ years in program/project management for complex tech projects, 5+ years of software development with programming proficiency, and 5+ years leading hardware product development at global scale.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse and empowering environment that motivates everyone to excel, fueled by innovation, great technology, and outstanding people.

What makes a strong candidate for this Data Center Quality Program Manager role?

Strong candidates will have deep technical expertise in server, network, and related infrastructure, proven experience leading complex multi-year programs with hardware and software teams, and the ability to build partnerships across multifunctional teams.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free