Manager, Server Firmware at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, DatacenterIndustries

Requirements

Master’s Degree, or a PhD, in Electrical Engineering or Computer Science or equivalent experience
Over 8 years of overall experience with a proven track record as a high-performing individual contributor, including more than 4 years of successful team management experience
Ability to lead a team of developers on aggressive schedules, driving full PLC solutions that are time to market
Domain expertise in Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc
Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment
Experience working closely with global partners and customers
Excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day
Self-starter who loves to find creative solutions to exciting problems
Ways to stand out
Background in delivering BMC or equivalent manageability stack for enterprise servers
Proven record leading a team of engineers

Responsibilities

Driving a global team of firmware developers to achieve program success with high quality using NVIDIA Product Design Life Cycle and support factory, new NPI products
Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for the enterprise
Leading design or server manageability and security design concepts
Designing system level solutions including complex hardware and firmware interactions
Designing and developing solutions using industry standard APIs such as Redfish, OpenBMC, DMTF PLDM/MCTP and OCP standards
Contributing and driving open standards
Enhancing a firmware ecosystem from partner factories to data center deployments
Working closely with hardware teams to influence hardware design and review HW architecture & schematics
Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack

Skills

Firmware Development

Redfish

OpenBMC

PLDM

MCTP

OCP Standards

OOB Management

Server Architecture

BMC

GPU Servers

Hardware Design

Test Automation

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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