Full-Time

Senior System Software Bringup Engineer

Multiple Teams

Posted on 7/22/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$184k - $356.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Remote

Category
AI & Machine Learning (2)
,
Required Skills
Python
C/C++
Requirements
  • 10+ 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.
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.
Desired Qualifications
  • 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.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Data centers generate 89% of $215.9B FY2026 revenue.
  • $40B acquisitions like OpenAI bolster AI infrastructure dominance.
  • Nemotron models and Drive Thor accelerate agentic AI adoption.

What critics are saying

  • AMD MI450X outperforms Blackwell by 25% per watt in inference.
  • Huawei Ascend 910D blocks $10B China AI sales due to bans.
  • Google TPU v6 cuts hyperscaler GPU dependency by 60%.

What makes NVIDIA unique

  • NVIDIA invented GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and HPC.
  • Holds 92% discrete GPU market share as of Q1 2025.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
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