Quality And Reliability Engineer
Intel is hiring a Quality And Reliability Engineer in Phoenix, United States. It pays $121k-$171k a year and Level rates it ; you can apply on Intel.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include quality assurance, reliability engineering and manufacturing.
- Level classifies it as a mid-level role.
- Level lists 842 other open roles at Intel.
AI in this role
Ensure manufacturing quality and reliability standards through audits, data analysis, and process improvements for high-volume production.
Job Description:
The Role and Impact
As a Manufacturing Quality and Reliability Engineer, you will play a key role in ensuring Intel's manufacturing ramps transition seamlessly to high-volume production while maintaining exceptional product quality and reliability standards. You will evaluate materials, processes, and testing mechanisms, conduct quality audits, and implement improvements that directly enhance Intel's ability to deliver cutting-edge technology solutions. Your contributions will foster a culture of continuous improvement and operational excellence, driving impact across manufacturing and customer satisfaction.
Business Group
You will join Intel's Foundry manufacturing quality and reliability team, an organization dedicated to upholding world-class standards across Intel's manufacturing operations. Collaborating across product engineering, manufacturing, and supplier engagements, the team ensures Intel's products consistently meet rigorous quality requirements while supporting Intel's broader mission of delivering innovative solutions that shape the future of technology.
Key Responsibilities
- Evaluate and qualify manufacturing ramps and processes to ensure compliance with quality and reliability standards.
- Develop systems for early detection and containment of manufacturing excursions while conducting risk assessments.
- Drive continuous process improvements and proactive quality programs in factories to promote a quality mindset.
- Conduct quality assessments, audits, and analyze reliability data to identify opportunities for improvement.
- Collaborate with product development teams to make recommendations for system, process, and product reliability enhancements.
- Manage excursion containment, change control, and supplier audits, driving supplier continuous improvement initiatives.
- Respond to customer-reported issues by providing engineering solutions to improve customer satisfaction and experience.
- Extract insights from data using statistical techniques and machine learning to evaluate product and system compliance.
What We're Looking For
You should demonstrate the following professional traits to be successful:
- Proven ability to lead and motivate teams within a fast-paced manufacturing environment.
- Skilled in engineering analysis tools and data-driven decision-making for quality improvements.
- Strong communication and leadership skills, with experience driving results in cross-functional teams.
- Ability to develop long-term strategies and execute them effectively.
- A passion for fostering team collaboration and building a productive, inclusive work environment.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
Bachelor's degree in Electrical Engineering, Material Engineering, other engineering, Physics or STEM related fields with 3+ years of experience (OR Masters or PhD degree in Electrical Engineering, Material Engineering, other engineering, Physics or STEM related fields with 1+ years' experience) in at least 4 of the below skills:
• Proficiency in statistical process control, excursion management processes, and manufacturing quality.
• Complementary metal-oxide semiconductor (CMOS), device physics, and semiconductor processing techniques, Statistical Process Control (SPC).
• Device/semiconductor physics and electrical characterization techniques and in areas pertaining to wafer fabrication.
• Data extraction and analysis skills.
• Quality & Reliability (QnR), Process, device, and product engineering experience.
• Design of Experiments (DOE) principles and structured problem solving.
Preferred Qualifications
• Microprocessor architecture.
• Data extraction and analysis skills (JMP, Crystal Ball, ILM, REL PCS, SQL, JSL Scripting).
• Experiences in process startup, process certification, or reliability risk assessments related to the device front end process or back end reliability experience are preferred.
• Hands-on IC fabrication experience is preferred.
Job Type:
Experienced HireShift:
Shift 1 (United States of America)Primary Location:
US, Arizona, PhoenixAdditional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $120,860.00-170,630.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.How we rate this
Quality And Reliability Engineer at Intel rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quality assurance was part of your work. What did you do?
- Tell me about a project where reliability engineering was part of your work. What did you do?
- Tell me about a project where manufacturing was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical techniques was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quality Assurance, Reliability Engineering, Manufacturing, Data Analysis, and Statistical Techniques. 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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