Level

Amazon

System Product Quality & Reliability (Q&R) Engineer, Annapurna Q&R

AI in this role

Ensure semiconductor product quality and reliability through DfX methodologies, manufacturing audits, and failure analysis.

pcb-design
hardware-testingquality-assurancefailure-analysisstatistics
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs is a semiconductor company established by semiconductor industry veterans and is now part of Amazon Web Services. We are developing leading edge products, manufactured on leading edge technologies. We offer a dynamic, open, teamwork environment operating at high pace mode.

Key job responsibilities
Primary responsibilities:
- Development of DfX (DfM, DfT, DfQ&R, etc.) methodologies and BKMs (Best Known Methods).
- DfX activities during the product design stage.
- Product quality & reliability validation (QRV) and ongoing quality & reliability monitoring (OQRM).
- Q&R engineering of volume manufacturing: auditing, monitoring, risk assessment and disposition of non-conformance events/non-conforming material, defining and implementing corrective actions.
- RMAs: investigation, disposition, reporting and follow-up.

Basic qualifications

- Bachelor's degree or above in mechanical engineering, electrical engineering, material science, physics or equivalent, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge and experience in PCB/PCBA design, manufacturing, testing and failure analysis.
- Knowledge and experience in quality and reliability engineering and statistics fundamentals.
- Knowledge of relevant IPC and other standards.
- Fluent English.

Preferred qualifications

- Knowledge of fundamentals of computer networks and data processing is a plus.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we score this

System Product Quality & Reliability (Q&R) Engineer, Annapurna Q&R at Amazon scores 0 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

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Skills and AI tools this role asks for

Hardware TestingQuality AssuranceFailure AnalysisStatisticsPcb Design

Questions you could be asked

  1. Tell me about a project where hardware testing was part of your work. What did you do?
  2. Tell me about a project where quality assurance was part of your work. What did you do?
  3. Tell me about a project where failure analysis was part of your work. What did you do?
  4. Tell me about a project where statistics was part of your work. What did you do?
  5. Walk me through how you've used Pcb Design in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Hardware Testing, Quality Assurance, Failure Analysis, Statistics, and Pcb Design. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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