Senior BMC Firmware Development Engineer at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, HardwareIndustries

Requirements

Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc
Strong experience with AMI/Insyde or OpenBMC Firmware architecture. Be able to lead BMC firmware development through the whole project developing phases and success to mass production
Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment
Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems
Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms
Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments
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. You are a self-starter who loves to find creative solutions to exciting problems
Bachelor’s Degree or higher in Electrical Engineering or Computer Science, and 10+ years of experience, with demonstrated strong ability as individual contributor

Responsibilities

Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for enterprise
Working with a global team of BMC developers on NVIDIA server designs
Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications
Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports
Providing software quality reports based on static analysis, code coverage, CPU load
Working with security team to ensure developed code is in line with product security goals
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

BMC Firmware

X86

ARM

BMC-BIOS

Thermal Management

Power Management

Firmware Update

Device Monitoring

Firmware Security

AMI

Insyde

OpenBMC

MCTP

Redfish

SPDM

PLDM

DMTF Standards

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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