OpenBMC Application Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High-Performance Computing, Artificial Intelligence, Cloud Data Centers, GamingIndustries

Requirements

Bachelor’s degree or higher in Electrical Engineering, Computer Science, or equivalent experience
5+ years of relevant experience, with a proven background in large-scale projects and multi-functional teamwork
Strong expertise in BMC firmware development, including BMC-BIOS communication, thermal/power management, firmware update, device monitoring, and firmware security
Deep knowledge of Linux, including command-line usage, driver model, and Linux kernel internals
Board bring-up experience with device drivers (I2C/I3C, SPI, PCIe, SMBus, Mailbox, etc.) and device trees for U-Boot and Linux kernel
Proficiency in C/C++ with scripting skills in Python or Bash

Responsibilities

Develop OpenBMC firmware and core features to support next-generation GPU server platforms
Contribute and upstream OpenBMC code, collaborating with the open-source community to drive feature requirements and influence project direction
Design and implement manageability and monitoring solutions for enterprise components such as CPU, GPU, DIMM, SSD, NIC, PSU, FPGA, and CPLD
Leverage industry standards (MCTP, Redfish, SPDM, PLDM, PMBus, NVMe, etc.) to build high-performance and secure BMC solutions
Write Linux, C/C++ Device Drivers
Configure Yocto/bitbake
Collaborate with customers and partners to facilitate, solve, and improve OpenBMC solutions while promoting the ecosystem
Provide technical guidance, training, and documentation to help customers and ecosystem partners adopt OpenBMC more effectively

Skills

OpenBMC

C/C++

Linux

Device Drivers

Yocto

Bitbake

Redfish

MCTP

SPDM

PLDM

PMBus

NVMe

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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