Product Quality Engineer (NCG)
Astera Labs
About the Role
Astera Labs is seeking a Quality Engineer to join our Product Quality Engineering team in San Jose, CA. This role offers an opportunity for an early-career engineer to work with semiconductor devices in AI infrastructure connectivity.
Key Responsibilities
- Failure Analysis & Root-Cause Infrastructure
- Enable and develop infrastructure such as databases to optimize and reduce time to root-cause failures in circuit, package, firmware, or protocol-level iterations.
- Participate in the new product development process to enable improvements and capabilities for failure analysis.
- Document product quality engineering processes and methodologies to ensure repeatability and scalability.
- Lab Measurement & Debug
- Perform measurements on high-speed SERDES, PCIe, and Ethernet devices to characterize and debug quality issues.
- Set up and use advanced lab instrumentation including BERT, high-bandwidth oscilloscopes, protocol analyzers, VNAs, TDR, and spectrum analyzers to support debug and root-cause activities.
- Cross-Functional Collaboration
- Collaborate with design, validation, hardware, and system engineering teams to resolve quality issues and drive continuous improvement.
- Support cross-functional efforts to improve product reliability and manufacturing quality.
Requirements & Tech Stack
- Understanding of high-speed serial interfaces (PCIe, Ethernet, SERDES).
- Familiarity with lab instrumentation such as oscilloscopes, BERT, TDR, or spectrum analyzers.
- The salary range for this position is $120,000 to $140,000 depending on experience and education level.
- This role may be eligible for discretionary bonus, incentives and benefits.
Qualifications
- Basic Qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
- Strong analytical and problem-solving skills.
- Excellent documentation and communication skills.
- Preferred Qualifications
- Internship or project experience in semiconductor quality, product engineering, or hardware validation.
- Exposure to signal integrity concepts and high-speed measurement techniques.
- Experience with database tools or scripting languages (Python, SQL) for data analysis and infrastructure development.
- Familiarity with failure analysis methodologies in a semiconductor environment.
- Knowledge of PCIe or Ethernet protocol specifications.