Senior Engineering Manager - Data Center MODS at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Data Centers, SemiconductorsIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field or equivalent experience
10+ overall years of experience in system software development, with 4+ years in engineering management
Experience with C/C++/Python
Deep understanding of operating systems, kernel drivers, and hardware-software interaction
Experience with PC/server architecture, including PCIe, NVLink, Infiniband, or Ethernet
Consistent track record of leading feature development and multi-team debugging efforts

Responsibilities

Lead and mentor a high-performing engineering team, fostering technical growth and leadership
Collaborate with architecture and hardware teams to drive development of stress and diagnostic software targeting GPUs, CPUs, memory, storage, and interconnects
Lead multiple concurrent projects, balancing long-term strategy with short-term execution
Work with Cloud Service Providers (CSPs), OEMs, and data center operators to support deployment and customization of diagnostics
Champion continuous improvement in product quality, debug efficiency, and operational scalability

Skills

Key technologies and capabilities for this role

C++PythonOperating SystemsKernel DriversPCIeNVLinkInfinibandEthernetGPUStress TestingDiagnostics

Questions & Answers

Common questions about this position

What is the salary range for this Senior Engineering Manager position?

The base salary range is 272,000 USD - 425,500 USD for Level 4, and 308,000 USD - 471,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field, 10+ years in system software development with 4+ years in engineering management, experience with C/C++/Python, deep understanding of operating systems, kernel drivers, and hardware-software interaction, plus experience with PC/server architecture including PCIe, NVLink, Infiniband, or Ethernet.

What is the company culture like at NVIDIA's Data Center MODS organization?

The team fosters technical growth and leadership, partners closely with architecture, ASIC, operations, and data center teams, and is committed to a diverse work environment as an equal opportunity employer.

What makes a candidate stand out for this Engineering Manager role?

Stand out with experience in diagnostics or stress testing in large-scale data centers, familiarity with GPU compute, graphics, memory subsystems or high-speed interfaces, prior work with CSPs or OEMs on system-level validation, strong communication and multi-functional leadership skills, and passion for building tools for product excellence.

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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