381 Computer Engineer jobs in Cupertino,CA

Minimum of two (2) years of experience in the hands-on repair and service of electronic equipment, preferably professional photo/video servicing
Associate degree in electronics or equivalent with emphasis on electronic equipment
Proficient knowledge of digital and analog circuitry
Knowledge and use of sophisticated test equipment in the repair process
Ability to read and interpret electronic schematics
Experience in precision soldering
Demonstrated basic skills with precision hand tools and test equipment
Knowledgeable of ESD (Electrostatic Discharge) procedures or willing to learn
Good working knowledge of basic PC skills, including Microsoft Excel, Word and standard software applications
Excellent communication and customer service skills
Able to use a computer, phone, and other standard office equipment
Must be mobile and able to sit and/or stand for four (4) hours
Able to lift 35 lbs. from floor to chest level
Basic understanding and manual dexterity to use various hand-held and power tools
Smartphone with internet access/data plan

Imagry

San Jose, CA 95192

Experience: At least 3 years of hands-on experience as an Algorithm Engineer.
Education: M.Sc. (or equivalent) in Computer Science, Electrical Engineering, Physics, or a related quantitative field from a top-tier university.
Outstanding B.Sc. graduates from leading universities are also encouraged to apply!

Intel

Santa Clara, CA 95050

PhD with 10+ years of directly relevant experience, or Master's degree with 15+ years of experience, in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor related STEM field
Deep, authoritative expertise in dry etch semiconductor manufacturing, with demonstrated leadership over complex process development or platform level solutions
Experience working in dry etch in a foundry
Proven track record of technical ownership and delivery of dry etch process innovations that enabled high volume manufacturing, yield improvement, reliability, or technology node transitions
Expert level understanding of plasma physics, plasma-surface interactions, pattern fidelity, selectivity, defectivity, and profile control for advanced device structures
Demonstrated ability to define long term technical direction and translate research concepts into manufacturable solutions at scale
Extensive experience with advanced data analytics, statistical modeling, and design of experiments (DOE) applied to complex semiconductor process problems
Recognized technical authority who influences decisions across modules, organizations, or technology programs without formal management authority