385 Data Engineer jobs in Santa Clara,CA

High school diploma or general education degree (GED)
Authorization to work in the United States
2-4 years of experience in a mechanical inspection, quality control, or related manufacturing role an asset
Must be able to follow instructions and procedures and work with minimal supervision
Must be capable of reading drawings and inspecting the work being performed
Ability to interpret engineering drawings/blueprints
Excellent documentation skills
Good communication and organizational skills
Basic knowledge of Microsoft Word and Excel, and managing files and folders in Windows
Ability to speak and understand basic safety and manufacturing instructions

U.S. Navy

Santa Clara, CA 95051

ABM

Mountain View, CA 94039

Teledyne

Mountain View, CA 94041

U.S. Citizen (required)
High School diploma or equivalent
5-7 years of directly related experience or certified to J-STD-001 or IPC-A-610; if not already certified, ability to become IPC-A-610 certified at CIS level
3 - 5 years' experience performing inspections to MIL-STD-883, Methods 2010, 2017, 2032 or documents based on these criteria. It is acceptable to have experience using other inspection criteria
Comfortable using a variety of measurement tools - calipers, micrometers, pin gages, optical comparator
Experience using low and high-power microscopes
Hands-on experience with any type of Nonconformance Report system, to create and update Nonconformance Reports. (Agile, Arena, TIPQA, TeamCenter...)
Experience working with cross-functional teams; (Production, Inventory, Engineering, Planning)
Proficiency with standard MS Office software - Outlook (email), Excel, Word

Imagry

San Jose, CA 95192

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university
Ph.D. – Advantage
A proven track record of at least 3 years hands-on experience in developing deep learning algorithms
Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
In-depth, hands-on knowledge of deep learning fundamentals
Hands-on experience with deep learning frameworks such as PyTorch
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
Proficiency in Python programming
Experience in conducting long-term development and/or research projects, in either academia or industry
Proficiency in English, both written and spoken
Eligible to work in the US