Drimva

Astera Labs

System Validation Engineer - All Levels (AI Fabric Switches)

$148K–$255K

San Jose, California, United States +1 · Full-time · Posted Jul 6, 2026

Location
San Jose, California, United States
California
Experience
2–12 years.
Education
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.

About the job

Leads post-silicon bring-up and system validation of AI fabric switch products, automating tests and resolving issues across silicon, firmware, hardware, and systems.

What you'll do

  • Create validation plans, test objectives, and certification criteria for functionality, performance, reliability, stress, interoperability, and compliance.
  • Lead silicon and platform bring-up, execute automated tests, and investigate root causes across system layers.
  • Collaborate with customers and cross-functional teams; report validation results, risks, and recommendations.

What they ask for

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • 2–12 years of experience supporting or developing complex SoC or silicon products for server, storage, networking, or AI infrastructure applications.
  • Working understanding of x86 and ARM architectures and UEFI/Linux boot sequences; high-speed signaling and hands-on experience with PCIe, NVMe, or Ethernet.
  • Experience with silicon and system bring-up, validation, and debug; strong Python automation skills and experience with laboratory equipment.

Nice to have

  • Master’s degree in a related technical field; working knowledge of C or C++.
  • Familiarity with PCIe/CXL compliance standards and consortium tests, or schematic capture and PCB layout tools such as Cadence Allegro or Altium.

Pay

$148,500 to $255,000 USD base salary

Tools

Python, x86, ARM, UEFI/Linux, PCIe, NVMe, Ethernet, CXL

AI focus

Validates AI fabric switch products for AI and cloud data-center infrastructure.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)