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Failure Analysis

Fremont,CA

1313 Failure Analysis jobs in Fremont,CA

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Amazon.com Services LLC Logo

Amazon.com Services LLC - Sunnyvale, CA

Sr. Applied Scientist, Sensors, Sensor Algorithms
~ 27 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon.com Services LLC

Palo Alto, CA 94306

~ 26 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
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New, Posted 8 hours ago
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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 1 day ago
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CPU Performance Analysis Engineer (Multiple Locations- San Diego, Santa Clara, Austin)

Qualcomm

Santa Clara, CA 95050

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Expert, Quantitative Power System Analyst

PG&E Corporation

Oakland, CA 94612

Hybrid~ 33 min

  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field
  • 6 years of job-related experience
  • OR Master's Degree and 5 years' job-related experience
  • OR Doctorate and 3 year of job-related experience
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Staff Additive Manufacturing Engineer

Velo3D

Fremont, CA 94536

$165,000-$188,000/yr
OnsiteHealth InsuranceRetirement Benefit

  • U.S. Citizenship required due to the nature of government contract work and associated security requirements.
  • 12+ years of hands-on experience in metal additive manufacturing, advanced manufacturing, production engineering, or related technical fields.
  • Bachelor's or Master's degree in Mechanical Engineering, Manufacturing Engineering, Materials Science, or a related technical discipline.
  • Deep technical expertise in metal additive manufacturing processes, including production-scale powder bed fusion and downstream manufacturing operations.
  • Strong understanding of GD&T;, dimensional inspection methods, scan-based metrology, and translating measurement data into process improvements and compensation strategies.
  • Demonstrated experience leading complex continuous improvement initiatives in a production environment, including problem definition, experimentation, data analysis, implementation, and standardization.
  • Proven ability to solve complex manufacturing challenges through engineering analysis, experimentation, and cross-functional collaboration.
  • Experience developing and scaling manufacturing processes for high-value, low-volume, or mission-critical hardware.
  • Ability to operate effectively on the manufacturing floor while also influencing long-term technical strategy and operational improvements.
  • Excellent communication, leadership, and collaboration skills with the ability to align engineering, operations, quality, program management, and executive leadership.
  • Experience supporting aerospace, defense, space, or other highly regulated industries is preferred.
  • Experience with government contract environments, export-controlled hardware, or regulated manufacturing standards is preferred.
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ASIC Manufacturing Engineer

Nokia

Sunnyvale, CA 94089

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Minimum B.S. in Industrial Engineering, Computer Engineering, or related semiconductor
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Design For Test Enginineer IV

Arrow Electronics

San Jose, CA 95110

~ 28 min Onsite

  • Typically requires a minimum of 8 years of related experience with a 4 year degree; or 6 years and an advanced degree; or equivalent experience.
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Sr Principal Program Cost and Schedule Control Analyst

Northrop Grumman

Sunnyvale, CA 94087

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

  • Bachelor's degree with 8 years of related professional experience - OR - a Master's degree with 6 years of related professional experience
  • Will consider 12 years of applied experience in lieu of degree requirement.
  • Experience with financial systems including cost performance reporting and analysis
  • Experience with Earned Value and performance measurement baseline concepts and ability to apply them to multiple contracts, CLINs and control accounts.
  • Strong PC skills - specifically Excel proficiency (including pivot tables, Vlookup, and conditional formatting)
  • Ability to travel domestically 25% of the time.
  • US Citizenship is required
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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