Senior Product Engineer

Amazon is hiring a Senior Product Engineer in Haifa, Israel. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

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 develops the semiconductor platforms of the future for AWS, creating amazing products with complex architectures that push the boundaries of many fields. Amazon Web Services, the world's largest cloud provider, offers a highly reliable, scalable, and cost-effective infrastructure platform that powers hundreds of thousands of businesses in more than 190 countries. This is an exciting opportunity to join Amazon and contribute to bringing our next-generation products for the cloud market to the production stage.

Key job responsibilities
Analyze foundry Wafer Acceptance Test (WAT) data from development, corner lots, and qualification lots.
Collaborate with Test Engineering (TE) and Quality & Reliability (Q&R) teams to ensure test quality.
Recommend test plans and limits for production lots, corner lots, and pre-/post-qualification lots based on system specifications, yield, and Cpk targets.
Identify quality and reliability concerns and collaborate with TE, Q&R, and Failure Analysis (FA) teams to drive resolution.
Manage Continuous Improvement Process (CIP) activities with the foundry.
Drive test-time reduction activities based on Wafer Sort (WS) and Final Test (FT) production data.

A day in the life
As a Senior Product Engineer, you will play a crucial role in ensuring that the production of Annapurna Labs semiconductor products meets our customers' demands. Your responsibilities will include monitoring and analyzing production data, collaborating with various teams including Test Engineering and Foundry, Quality & Reliability (Q&R), Failure Analysis (FA), leading process and yield improvement initiatives
optimizing throughput, enhancing test quality, and reducing test time.
In this role, you will be fully exposed to the semiconductor production flow of all Annapurna Labs products, all semiconductor testing methodologies, and FAB process yield improvement activities.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's/Master's degree in Electrical Engineering, Physics or other relevant Engineering degree, with practical work experience.
- At least 10 years’ experience working in the semiconductor industry, in one of the following post-silicon fields – Q&R, Test, Foundry, or Product Engineering.
- Demonstrate broad experience with semiconductor fabrication processes – preferably experience working with TSMC.
- Solid understanding of semiconductor devices, layout, and device characterization.
- Familiar with silicon manufacturing and testing flows on various test platforms.
- Excellent written and verbal communication skills.
- A proactive team player, with the ability to work in a rapidly evolving environment.
- Strong analytical and problem-solving skills.
- Experience in analyzing production data using BI tools and analysis tools such as JMP.

Preferred qualifications

- • Knowledge of advance technologies – GAA and backside power grid.
- • Knowledge of DFT methodologies for SCAN and MBIST.
- • Experience working with external test/assembly OSATs.
- • Familiar with failure analysis techniques such as LADA, FIB, SEM, IR, EMMI, and CSAM

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 rate this

Senior Product Engineer at Amazon rates 35 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.

Classification

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.