Product Engineer-CPU/GPU

ThunderSoft

Singapore

On-site

SGD 78,000 - 134,000

Full time

48 hours ago
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Job summary

ThunderSoft Singapore seeks an experienced engineering data analyst to drive yield insights from test data and characterization programs. You will work with CPUS/GPUs IPs and test content, applying statistical methods to identify root causes and enable debug resolution.

The role involves end-to-end analysis of Si and package qualification, optimization of test voltage/frequency, and collaboration with Test engineers to deliver robust characterization content for volume production.

Qualifications

  • Degree in Electrical and Electronics Engineering.
  • 4–5 years of relevant experience, preferably with CPU/GPU products/IPs.
  • Experience with test IPs such as Scan, MBIST, Functional, Analog signals and High Speed I/O test, DFT concepts.
  • Experience with qualifying OSAT for manufacturing testing.
  • Experience with statistical data analysis and yield improvement.
  • Experience in manufacturing and post-manufacturing life cycle support.
  • Unix/Windows proficiency and scripting in Java, Perl, Python.

Responsibilities

  • Analyze engineering and manufacturing test data with statistics and yield insights.
  • Analyze yield Pareto charts, identify impactors and drive debug/resolution.
  • Analyze data from Si and Package qualification to optimize test conditions.
  • Collaborate with Test engineers to brainstorm yield improvements and fallout items.
  • Plan and execute IP and product characterization tasks end-to-end.
  • Validate test programs and debug content issues in characterization tests.
  • Collect Charz data on typical and corner samples; monitor execution.
  • Enable sampled data collection on volume samples and analyze sensitivities across voltage/frequency/temperature/Si process.

Skills

Yield Analysis
Statistical Data Analysis
Problem Solving
Communication
Team Player

Education

Bachelor's in Electrical & Electronics Engineering

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

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

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 client system teams to align on Vid allocation methodology and ensure product bounding box is met
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