Product Engineer

ThunderSoft

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

ThunderSoft in Singapore is seeking a Yield Analysis Engineer to analyze engineering and manufacturing test data, delivering statistical insights to improve yields.

You'll work with test engineers to identify debug needs, optimize test conditions, and drive characterization programs across voltage, frequency, and temperature. Candidates should have a degree in EEE and 4-5 years of experience with CPU/GPU test IPs, plus scripting in Python/Perl.

Qualifications

  • Degree in Electrical and Electronics Engineering.
  • 4-5 years relevant experience, preferably with CPU/GPU products/IPs.
  • Experience with Test IPs: Scan, MBIST, Functional, Analog/mixed-signal and High Speed I/O test.
  • Experience with qualifying OSAT for manufacturing testing.

Responsibilities

  • Analyze engineering and manufacturing test data with statistics and yield insights.
  • Analyze yield paretos and identify debug needs and solutions.
  • Analyze data from Si and Package qualification and drive debug/resolution.
  • Brainstorm yield/qual fallout with Test engineers.
  • Plan and execute IP and Product Characterization tasks end-to-end.
  • Test program validation, analysis and debug of charz test content.
  • Charz data collection on samples, driving and monitoring execution.
  • Enabling sampled data collection on volume samples.
  • Analyze Charz data across voltage/frequency/temperature/Si process.
  • Analyze sensitivities of test conditions, optimize test voltage/frequency.

Skills

Data analysis
Analytical thinking
Team player
Communication skills

Education

Electrical & Electronics Engineering degree

Tools

JMP
SQL
Unix/Windows
Python
Java
Perl

Job description

  • Degree in Electrical and Electronics Engineering
  • At least of 4-5 years of relevant experience, preferably with CPU/GPU products/IPs
  • Experience skillsets on Test IPs such as Scan, MBIST, Functional, Analog-mixed signals and High Speed I/O test, DFT concepts
  • Scan, Ethernet, Fuse, IOSPEC, JTAG, MBIST, DDR, PCIE, PLL, RESET, Ring Osc., Static/Dynamic IDD, High Voltage Stress, Thermal, xGMI, Functional
  • Experience with qualifying OSAT for manufacturing testing
  • Experience with Statistical Data analysis
  • Experience on manufacturing, and post-manufacturing product life cycle support
  • Unix and Windows proficiency and Java, Perl, Python scripting skills.
  • Good understanding of digital testing concepts
  • Good problem identification, problem definition and problems solving skills
  • Self-motivated & independent, strong interpersonal & communication skills, team player
Job Scope:
  • Analyze engineering and manufacturing test data with statistics and yield insights
  • Analyze yield paretos, deep-dive into yield impactors and identify debug needs, solutions
  • Analyze data from Si and Package qualification, identify issues and drive debug/resolution
  • Brainstorm yield/qual fallout items with Test engineers
  • Plan and Execute IP and Product Characterization tasks end-to-end, such as: Charz test program development with test engineers
  • Test program validation, analysis and debug of charz test content issues
  • Charz data collection on typical and corner samples, driving and monitoring execution
  • Enabling sampled data collection on volume samples
  • Analysis of Charz data, deriving insights on product/IP performance and sensitivities across voltage/frequency/temperature/Si process
  • Analyze sensitivities of test conditions, optimize test voltage/frequency
  • Work with system teams to align on Vid allocation methodology and ensure product bounding box is met
Requirements:
  • Experience with Yield Analysis (using tools such as JMP, SQL etc.), parametric analysis, Yield enhancement, interpreting and deriving insights from Test data
  • Experience in performing Si Characterization across Process/Voltage/Temperature
  • Experience in analyzing Characterization and Manufacturing data to optimize Test voltage/frequency conditions
  • Experience with statistical outlier screening, yield and parametric monitoring
  • Experience developing characterization test programs and 93k ATE skills is a plus
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