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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Bluefield platform

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 12+ years in embedded, firmware, or Linux system software.
  • Deep knowledge of ARM platform boot, including firmware, ATF, UEFI, bootloaders, Linux kernel bring-up, device tree, platform initialization, and userspace handoff.
  • A record of leading difficult cross-organizational projects from definition through delivery, including decisions with material product or schedule impact.
  • Experience influencing architecture and product direction through technical judgment, without relying on direct management authority.
  • Strong C skills and practical experience with Linux development, debugging, and hardware/software integration.

Responsibilities

  • Own the technical strategy and roadmap for BlueField platform boot integration, from early firmware through Linux login.
  • Set the technical direction for platform boot integration in partnership with the architecture team, experienced domain experts, product teams, and firmware partners.
  • Lead the most complex cross-layer technical issues and drive technical decisions with architecture and domain experts on reliability, security, performance, recovery, and platform readiness.
  • Define the operating model for boot integration: interface contracts, qualification criteria, release decisions, technical risk management, and escalation paths across organizations.
  • Identify and assess emerging technologies, development methods, and tools. Drive adoption where they improve product capability, quality, engineering efficiency, or time to debug.

Desired Qualifications

  • Hands-on experience with ATF, UEFI/EDK II, Linux kernel, or complex ARM SoC/server boot flows.
  • Experience with secure boot, measured boot, provisioning, firmware update, or recovery flows.
  • Experience building automated test, simulation/emulation, observability, or failure-triage infrastructure.
  • Experience introducing tools or engineering practices that significantly improved team efficiency or technical capability.
  • Knowledge of PCIe, I2C/I3C, SPI, SMBus, BMC interactions, reset and power sequencing, and server-platform interfaces.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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