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Advanced Packaging Senior Yield Analysis (Manufacturing)

164Β 470 - 232Β 190$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Advanced Packaging Senior Yield Analysis (Manufacturing): Driving yield and defect improvement across advanced packaging technologies by analyzing large manufacturing datasets, applying statistical methods and machine learning, and improving process, test, and inline metrology capabilities with an accent on yield analysis, defect reduction, and technology ramp. Focus on extracting insights from structured and unstructured data, directing cross-functional yield roadmaps, and solving complex manufacturing problems during technology development and high-volume manufacturing.

Location: Hybrid role based at the hirify.global site in Albuquerque, New Mexico, United States, with on-site and off-site work. Some domestic and international travel is required.

Annual salary: $164,470–$232,190 USD

Company

hirify.global develops semiconductor technologies and advanced packaging solutions for technology development and high-volume manufacturing.

What you will do

  • Drive yield and defect improvement across the advanced packaging technology portfolio.
  • Extract insights from large structured and unstructured datasets using statistical methods and machine learning.
  • Set priorities, develop recommendations, and influence the yield improvement roadmap.
  • Analyze electrical and physical failures, inline defect metrology, process flows, and sort/test data.
  • Prepare reports on yield and device health and determine actions needed to achieve best-in-class yield.
  • Partner with process engineering, integration, quality, product, and test development teams during technology transfer and ramp into high-volume manufacturing.

Requirements

  • Bachelor's degree with at least 6 years of relevant experience, master's degree with at least 4 years, or PhD with at least 2 years in a relevant technical field.
  • Relevant fields include materials science and engineering, mechanical engineering, computer science, information systems, chemical engineering, electrical engineering, chemistry, physics, or a related discipline.
  • At least 3 years of data analysis experience using JMP, Python, or other data engineering software.
  • Strong analytical, organizational, communication, presentation, and problem-solving skills.
  • Ability to work autonomously, influence stakeholders, and direct cross-functional teams across organizational boundaries.
  • Understanding of electrical and physical failures, FIFA, DFT, sort/test, integration and process flow, databases, data manipulation, data mining, and data visualization.

Nice to have

  • In-depth understanding and hands-on application of statistical analysis.
  • Structured technical problem-solving experience.
  • Understanding of product design, circuits, and architecture as applied to yield analysis.
  • Understanding of inline metrology capabilities and defect detection systems.

Culture & Benefits

  • Hybrid work model combining on-site work at the assigned hirify.global site with off-site work.
  • Competitive pay with stock bonuses.
  • Health, retirement, and vacation benefits.
  • Inclusive work environment and cross-functional collaboration.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’