Senior Embedded Linux Platform Execution Lead

NVIDIA

Santa Clara (CA)

On-site

USD 224,000 - 357,000

Full time

4 days ago
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Job summary

NVIDIA is seeking a Senior System Software Engineer / Platform SW Execution Lead to drive SoC and platform bring-up for edge AI products. You will own the execution plan from concept through high‑volume deployment, coordinating with hardware, silicon, validation, and factory teams.

You should have 12+ years in embedded software, solid C/C++, Linux kernel experience, and strong program management skills. This role combines hands-on engineering with leadership to accelerate edge AI platforms.

Qualifications

  • 12+ years of software development experience in embedded or edge systems.
  • Experience leading SoC or platform bring-up across multiple hardware revisions.
  • Strong Linux kernel, driver, BSP, and boot sequence expertise.

Responsibilities

  • Lead SoC and platform bring-up from prototype to production with execution plan.
  • Define and drive end-to-end platform Linux software roadmap for edge devices.
  • Develop and debug low-level Linux system software (bootloaders, kernel, drivers).
  • Serve as technical program owner for platform SW bring-up with risk tracking.
  • Collaborate with hardware, silicon, validation, and factory teams to resolve issues.
  • Develop factory test and provisioning software and tooling for high-volume deployment.
  • Analyze lab, factory, and field data to improve stability and test strategy.
  • Mentor junior engineers and scale the Linux for Edge team's capabilities.

Skills

Linux kernel development
C/C++ programming
Hardware debugging
Project management
Automation with Python

Education

Bachelor’s/Master’s in CS/EE

Tools

JTAG debugging
Logic analyzers
Oscilloscopes
Lab instrumentation

Job description

NVIDIA is seeking a Senior System Software Engineer / Platform SW Execution Lead to drive SoC and platform bring-up for edge AI products. You will own the execution plan from concept through high‑volume deployment, coordinating with hardware, silicon, validation, and factory teams.

You should have 12+ years in embedded software, solid C/C++, Linux kernel experience, and strong program management skills. This role combines hands-on engineering with leadership to accelerate edge AI platforms.

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