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Engineer Engineering Data Analysis

Santa Clara,CA

1669 Engineer Engineering Data Analysis jobs in Santa Clara,CA

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Combat Engineer - Find Success in US Army

US ARMY

Monterey, CA 93940

Requires TravelUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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Construction Engineer - Entry Level

U.S. Army Reserve

San Francisco, CA 94112

~ 54 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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Manufacturing Engineering Manager

Becton, Dickinson and Company

Milpitas, CA 95035

~ 18 min Onsite

  • Bachelor's degree in Engineering or a related technical discipline.
  • 7+ years of progressive manufacturing engineering experience in a manufacturing environment.
  • 3+ years of people management experience leading engineers, technicians, or technical personnel.
  • Strong experience supporting electro-mechanical instrumentation, complex manufacturing systems, or regulated manufacturing operations.
  • Demonstrated experience improving manufacturing processes, equipment, tooling, fixtures, assembly operations, test processes, and production support systems.
  • Experience leading capital equipment projects from business case development through implementation, qualification, and operational handoff.
  • Demonstrated ability to lead root cause investigations using structured problem-solving tools including 8D, DMAIC, 5 Why, Fishbone Analysis, and A3 methodologies.
  • Strong understanding of process validation, PFMEA, control plans, risk management, and equipment qualification methodologies.
  • Experience with ERP systems, MES systems, and manufacturing data analytics.
  • Excellent communication, leadership, project management, and problem-solving skills.
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ASIC Manufacturing Engineer

Nokia

Sunnyvale, CA 94089

~ 14 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Minimum B.S. in Industrial Engineering, Computer Engineering, or related semiconductor
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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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Manufacturing Engineer

Super Micro Computer

San Jose, CA 95123

~ 16 min Onsite

  • Bachelor's degree (or higher) in Electrical Engineering, Electronics Engineering, or a relevant STEM field preferred
  • 2+ years of IQC/Quality experience in electronics manufacturing
  • Able to read and understand Bills of Material, schematics, and data sheets; holding relevant IPC certifications is advantageous
  • Leadership & Communication: Strong leadership skills to guide technicians, alongside clear written/verbal English skills for issuing defect reports
  • Analytical mindset with strong problem-solving abilities; Excellent written and verbal English communication skills for documenting technical reports and collaborating with team members
  • The successful candidate is expected to be present in the office during standard working hours as determined by the company
  • In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role
  • Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location
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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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Senior Mechanical Engineer (Manufacturing Engineering)

Velo3D

Fremont, CA 94536

$145,000-$170,000/yr
Health InsuranceRetirement Benefit

  • Bachelor's degree from an accredited university in mechanical engineering or a related field or higher
  • 8+ years of experience in Mechanical Systems Design and Development
  • 5+ years of CAD experience (Solidworks prefered) Solidworks PDM, Solidworks Electrical
  • 8+ years' experience designing manufacturing systems for semiconductor, machining, automation, materials processing, or other related industrial capital equipment applications (Additive Manufacturing, Semiconductor, Solar, Robotics, CNC, or Biomedical Manufacturing Equipment Design Engineering experience)
  • Experience in GD&T; and quality detail drawing documentation.
  • Thermal Analysis, FEA, CFD, and simulation software.
  • Systems level thinker with experience working on complex mechanical systems
  • Willing and able to work "Hands-on" to build, integrate and test newly developed systems and/or subsystems
  • Self-driven and independent thinking. Ability to work independently.
  • Strong desire to work for a company on disruptive technologies and make it a success.
  • Strong written and oral communication skills.
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 27 min

  • 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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Manager Systems Engineering 2 - Reliability

Northrop Grumman

Sunnyvale, CA 94087

~ 14 min OnsiteHealth InsurancePaid Time Off

  • Bachelor's Degree in a STEM (Science, Technology, Engineering or Math) discipline with 9 years of engineering experience; OR a Master's Degree in a STEM discipline with 7 years of engineering experience; OR a PhD in a STEM discipline with 4 years of engineering experience.
  • Project management experience; tailoring of requirements for reliability and system safety programs.
  • Knowledge and experience in the reliability and system safety discipline.
  • Experience in conducting failure analysis investigations for root cause; and statistical analysis of engineering data.
  • Ability to read and interpret drawings and military specifications.
  • Excellent communication, mentoring, interpersonal skills, and the ability to interface with all involved employees.
  • Must be a US Citizenship
  • Active US Government Secret Clearance.
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