Principal Firmware Engineer - Data Center Server Management at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data CentersIndustries

Requirements

15+ years of relevant experience working on server firmware (BMC) and platform software development
BS, MS, or PhD in EE/CS or a related field, or equivalent experience
Strong knowledge of data center management, server architecture, and server manageability in data centers
Proficiency in C/C++ and Python programming
Experience with data center health management workflows
Hands-on experience with server firmware delivery for large data centers
Experience with SCM (e.g., Git, Perforce)
Experience with project management tools like Jira
Excellent written and oral communication skills
Strong work ethics, high sense of teamwork, and commitment to quality

Responsibilities

Drive server management for large clusters and data centers deploying GPUs and Grace solutions from Nvidia
Work with data center architects and cloud customers to understand requirements for implementation and ensure product development speed
Collaborate with internal teams to design and implement solutions, ensuring alignment with firmware and software modules
Design and build data center health management workflows
Drive reliability and optimization in firmware architecture from a data center perspective
Work closely with cluster bring-up teams and resolve issues at the speed of light
Own firmware delivered to data centers in terms of quality, reliability, and telemetry performance

Skills

Key technologies and capabilities for this role

C/C++PythonGitPerforceJiraBMCserver firmwaredata center managementserver architecture

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What is the salary for this role?

This information is not specified in the job description.

What technical skills are required for this position?

Required skills include strong knowledge of data center management, server architecture, and server manageability; proficiency in C/C++ and Python programming; experience with data center health management workflows; and hands-on experience with server firmware delivery for large data centers.

What soft skills or qualities does the company value?

The role requires excellent written and oral communication skills, strong work ethics, high sense of teamwork, and commitment to quality.

What experience level is needed to be a strong candidate?

Candidates need 15+ years of relevant experience working on server firmware (BMC) and platform software development, plus a BS, MS, or PhD in EE/CS or related field.

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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