Axelera AI
Technology
NPIProductEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“NPI Product Engineer at Axelera AI. Skills: NPI, Product Engineering, Semiconductor. Support Product Engineering NPI process. Support ongoing volume product lifecycle”
What You'll Achieve.
Test data delivered on schedule; Yield reports delivered on schedule; Qualification activities progressing to plan; Silicon characterisation data collected; RMA investigation process established; 8D reporting process running smoothly
Industry & Context.
Root cause resolution
Travel to vendor sites, Travel to supplier sites
What They're Looking For.
Must Have
Minimum 3 years semiconductor IC manufacturing, Degree in Electronics, Electrical Engineering, or related, Hands-on data analysis experience, Yield reporting experience, Production LOT status monitoring experience, Verbal and written communication skills, Ability to work independently, Ability to manage time, Willingness to travel
Nice to Have
Familiarity with JMP, Familiarity with YieldHUB, Experience supporting semiconductor IC qualification, Understanding of silicon qualification, Understanding of package qualification, Experience with semiconductor IC test, Experience with ATE environments, Understanding of product failure analysis
What You'll Do.
Support Product Engineering NPI process
Support ongoing volume product lifecycle
Track product performance
Track manufacturing health
Provide yield monitoring reports
Identify test coverage improvement opportunities
Assist Test Engineering
Support test time reduction analysis
Support cost reduction initiatives
Support Product Qualification planning
Support test scheduling
Manage external qualification vendors
Track qualification progress
Ensure qualification schedule adherence
Provide internal status reports
Work with Silicon Design teams
Work with Test Engineering teams
Support qualification plans
Define test requirements
Plan silicon characterisation activities
Execute silicon characterisation activities
Validate performance across PVT
Provide product characterisation data
Provide technical support for datasheet
Manage RMA investigations
Produce structured 8D reports
Provide feedback on field failures
Provide feedback on quality issues
Support understanding of failure analysis
Drive root cause resolution
How You'll Work.
Team & Collaboration
Test Engineering; Design; Operations; Sales; DFT; Silicon Design
Communication Scope
Structured updates
Full Job Description
ABOUT US Axelera AI https://www.axelera.ai is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? POSITION OVERVIEW You’ll be a key contributor within the Silicon Product Engineering team, supporting new product introduction (NPI) and volume production lifecycle activities for Axelera AI’s advanced semiconductor products. Working closely with Test Engineering, Design, Operations, and Sales, you will help ensure our silicon reaches customers on schedule, to specification, and at competitive cost. This is a hands-on technical role, well suited to an engineer who thrives on data, is comfortable navigating both internal teams and external vendors, and wants to make a direct impact on product quality and production efficiency at a fast-growing AI hardware company KEY RESPONSIBILITIES: NPI & Volume Production Support • Support Product Engineering throughout the NPI process and ongoing volume product lifecycle • Collect, analyse, and report test data to track product performance and manufacturing health • Provide regular yield monitoring reports and identify opportunities for test coverage improvement • Assist Test Engineering with test time reduction analysis and cost reduction initiatives Product Qualification • Suppor
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