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Information Systems Engineer

Sunnyvale,CA

593 Information Systems Engineer jobs in Sunnyvale,CA

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Amazon.com Services LLC Logo

Amazon.com Services LLC - Sunnyvale, CA

Sr. Applied Scientist, Sensors, Sensor Algorithms
OnsiteHealth InsurancePaid Time OffRetirement Benefit
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Staff Engineer Manufacturing Systems

Northrop Grumman

Sunnyvale, CA 94087

OnsiteHealth InsurancePaid Time Off

  • A Bachelor's degree with a minimum of 12 years of relevant work experience in engineering and/or manufacturing; OR a Master's degree with a minimum of 10 or more years of relevant work experience in engineering and/or manufacturing, OR a PhD with a minimum of 8 or more years of relevant work experience in engineering and/or manufacturing.
  • Minimum 5 years experience interpreting, developing, and approving engineering drawings and/or schematics.
  • Minimum 5 years experience with mechanical assembly, machining, and/or fabrication manufacturing processes.
  • Experience working with cross-functional organizations (Program Office, Engineering, Manufacturing, Supply Chain, Quality, Field Operations, etc.)
  • Experience using Microsoft Office Applications (Power Point, Project, Excel Pivot Tables, V-Lookups and analyzing large data sets).
  • Ability to obtain and maintain a US Government Secret Clearance.
  • US Citizenship required.
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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Annapurna Labs (U.S.)

Cupertino, CA 95014

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Manufacturing Technician 1 (6:00am - 2:30pm Shift)

Velo3D

Livermore, CA 94550

$27-$29/hr
~ 46 min Onsite

  • Mechanical aptitude and at least three years of formal or informal hands-on experience with mechanical systems and components
  • Basic computer skills, including Microsoft Excel
  • Must wear steel-toed boots
  • Must wear protective eye-wear
  • May require hearing protection
  • Able to lift a maximum of 50 pounds
  • Candidates must be available to work Monday through Friday from 6:00am to 2:30pm with occasional overtime as required
  • Candidates must be able to work on-site in Fremont, CA for the first 6-8 months, after which the position will be based in Livermore, CA
  • Travel approximately 10-15% of the time, including trips of up to one week at a time, to support machine installations at various locations throughout the United States
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Hardware Senior Principal Engineer – System Integration

Dell

Santa Clara, CA 95050

~ 13 min Onsite
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Sr. Technical Writer

Super Micro Computer

San Jose, CA 95123

~ 20 min Onsite

  • Five or more years of experience developing technical documentation
  • Bachelor's degree in Technical Communication, English, Engineering, Computer Science, Information Technology, or a related field preferred
  • Experience writing service manuals, repair procedures, installation guides, troubleshooting guides, work instructions, or similar technical content
  • Strong understanding of computer systems, server hardware, components, networking, storage, or data-center technologies
  • Ability to understand complex technical products and translate engineering information into clear, accurate, user-focused documentation
  • Strong interviewing and information-gathering skills, with the ability to work effectively with technical subject-matter experts
  • Experience creating or editing technical diagrams, illustrations, flowcharts, and other visual documentation
  • Excellent written and verbal English communication skills, with strong attention to detail, consistency, grammar, and accuracy
  • Strong project-management and organizational skills, with the ability to manage multiple documentation projects and deadlines
  • Ability to work effectively across Engineering, Product Management, Field Service, Training, Quality, and other global teams
  • Proficiency with Microsoft Word, PowerPoint, Excel, and Visio
  • Experience with technical-authoring and publishing tools such as Adobe FrameMaker, Adobe InDesign, MadCap Flare, or similar platforms
  • Working knowledge of Adobe Acrobat, Illustrator, and Photoshop is desirable
  • Experience with structured authoring, content-management systems, DITA/XML, or document-control processes is a plus
  • Experience working within ISO or other quality-management standards is preferred
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Manufacturing Engineer

Keysight Technologies

Santa Clara, CA 95051

~ 13 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Materials Science, Physics, or a related technical field
  • 5+ years of hands-on manufacturing engineering experience in a precision manufacturing environment
  • Strong troubleshooting, diagnostic, and root cause analysis skills
  • Ability to work effectively in a production environment and collaborate across Engineering, Quality, Suppliers, and Operations
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Senior, Quantitative Power System Analyst

PG&E Corporation

Oakland, CA 94612

Hybrid~ 50 min

  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field
  • 4 years of job-related experience
  • OR Master's Degree and 3 years' job-related experience
  • OR Doctorate and 1 year of job-related experience
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 26 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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STAFF MANUFACTURING ENGINEER

TE Connectivity

Milpitas, CA 95035

~ 18 min Onsite

  • BS/MS in Mechanical, Electrical, Chemical, Manufacturing, or Materials Engineering (or closely related engineering field)
  • Hands-on experience with semiconductor/MEMS wafer processing in a cleanroom environment
  • Demonstrated data driven decision making
  • Proficiency with engineering tools such as metrology equipment, wafer probing systems, SPC/DOE software (Minitab/JMP)
  • Experience with process control, formal process release, and engineering documentation (PFMEA, control plans, specifications)
  • Strong analytical and statistical skills with demonstrated use of ANOVA, SPC, DOE, or advanced data analysis methods in production environment
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