Semtech

Semtech

Principal Engineer, Test Engineering

USA - San Diego, CA · Principal

Sponsorship not specified$137k-$196kDetected 30 days ago
PythonC++CMachine LearningData AnalysisPCB DesignAltiumCadenceElectrical EngineeringResearchLeadershipCommunicationMentoring

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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Files H-1B transfers

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About the role

  • We are seeking a Principal Test Engineer to serve as the technical authority and strategic leader for new product introduction test development in our mixed-signal product portfolio.
  • This role demands a proven innovator who can architect comprehensive test solutions spanning from early silicon validation through high-volume production.
  • Architect and define test strategies for complex mixed-signal products from concept through production maturity

Responsibilities

  • Lead development of innovative test methodologies sensing products
  • Develop and implement advanced test techniques for sensing products
  • Create reusable test IP, libraries, and frameworks that accelerate NPI cycles across product families
  • Lead test readiness reviews with stakeholders, providing strategic recommendations
  • Collaborate with Product Engineering to define characterization strategies and correlation methodologies
  • Drive continuous improvement initiatives that reduce NPI cycle time by 10-20%
  • Research and implement next-generation ATE capabilities and measurement techniques
  • Drive DFT/testability requirements into IC architecture, establishing company-wide standards and best practices
  • Builds test capabilities that enable entry into new markets and applications

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
  • 12+ years of progressive experience in semiconductor test engineering
  • 8+ years specifically in mixed-signal test development
  • Proven track record leading NPI programs for high-speed communication ICs
  • Technical Expertise:
  • Expert-level proficiency with Advantest V93000 platform (SmarTest 7/8)
  • Expertise in analog/mixed-signal DFT techniques (BIST, scan, boundary scan)
  • Experience with PCB design tools (Cadence, Altium) and signal integrity simulation
  • Demonstrated ability to influence without direct authority across organizations
  • Track record of delivering complex projects on aggressive schedules
  • Experience with SiGe BiCMOS process technology and its test challenges
  • Knowledge of automotive quality standards (AEC-Q100) and qualification flows
  • Familiarity with 93000 PS1600/PS3600 digital channels and Wave Scale RF
  • Experience with wafer-level testing and probe card design
  • Experience with test data analytics and machine learning applications

Compensation

  • A reasonable estimate of the pay range for this position is $137K - $196K.

Benefits

  • Perform technical risk assessment and mitigation strategies for test coverage and quality
  • Partner with IC design teams from concept phase to ensure optimal test coverage and manufacturability

Company info

  • Semtech's Global Test Engineering team is a world-class organization of innovative engineers who enable the success of our entire semiconductor portfolio through cutting-edge test solutions and methodologies.
  • We are the technical backbone that ensures every Semtech product meets the highest standards of quality, reliability, and performance.
  • Our team spans multiple sites globally and serves as the center of excellence for test innovation, working closely with all business units to deliver breakthrough test capabilities.
  • We specialize in mixed-signal, high-speed digital, and RF test development.
  • Our engineers drive competitive advantage through innovative test architectures, methodologies, and continuous improvement initiatives that directly impact Semtech's bottom line.
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This listing is sourced directly from Semtech's careers page and normalized into a canonical job model.