Senior System Software Bringup 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

AI, Semiconductor, High-Performance ComputingIndustries

Requirements

5+ years of experience in data center firmware/platform software development
BS, MS, or PhD in EE, CS, or related technical field (or equivalent experience)
Deep, hands-on expertise of working with ODMs/CSPs, firmware update design and out-of-band management
Proven track record of architecting and developing server firmware and diagnostic solutions for large-scale data center deployments
Solid knowledge of hardware interfaces (USB, SMBus/I2C, PCIe) and protocols such as Redfish, MCTP, and PLDM
Solid knowledge of debugging servers for early bring up
Advanced skills in C/C++ and Python, with a hands-on approach to coding and debugging during hardware bring-up
Strong communicator, excellent collaborator, and committed team player
Self-starter with a problem-solving mindset who thrives in a fast-paced, complex technical environment
Ways to stand out
Hands-on experience with ODMs/CSPs during system bring-up and volume deployment
Deep familiarity with x86 or ARM system architecture
Strong networking expertise with high-speed NICs, including bring-up and configuration in factory environment

Responsibilities

Lead and drive system bringup for GPU-centric server platforms in factory and data center environments
Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations
Collaborate cross-functionally with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp
Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design
Use AI tools to automate functionality and improve automation
Troubleshoot at speed of light, working closely with system bring-up teams on next generation AI systems to debug and resolve issues during bringup and deployment

Skills

firmware development

system bringup

GPU servers

data center

firmware flashing

security provisioning

debugging

AI automation

factory workflows

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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