Astera Labs Inc.
Senior Director System Validation Engineer
San Jose, CA · Director
Sponsorship not specifiedDetected 4 days ago
LinuxMachine LearningLoad TestingCommunication
About the role
- Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions.
- This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms.
Responsibilities
- Excellent communication skills and ability to influence executives and cross‑functional partners.
Requirements
- ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
- Expertise in validation methodologies: pre‑silicon simulation/emulation, post‑silicon bring‑up, system validation, stress testing, and performance characterization.
- ≥8 years leading validation teams planning, execution and maintaining project visibility.
- ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems.
- Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet.
- The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fast‑moving, high‑performance computing environments.
Nice to have
- Strong academic background in Electrical or Computer Engineering.
- Bachelor's required, Master's preferred.
- Preferred Experience
Skills
- ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions.
- Discover more at www.asteralabs.com.
- Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture.
Compensation
- The base salary range is $240,000 USD - $300,000 USD.
Apply directly at Astera Labs Inc. →Create a free account for alerts like thisView Astera Labs Inc. immigration profile
This listing is sourced directly from Astera Labs Inc.'s careers page and normalized into a canonical job model.