893 Quality Control Engineer jobs in San Jose, CA
Perfect Match
Easy Apply
BMS Control System Technician

JLL

Mountain View, CA

Within 15 miles of Mountain View, CA

~ 21 min OnsiteUrgently Hiring

  • Associates degree in mechanical engineering or a related facilities engineering field with relevant controls experience
  • Demonstrated experience in HVAC engineering fundamentals, including trend analysis
  • Demonstrated ability to organize and manage multiple simultaneous projects
  • 4+ years of experience in facilities HVAC and control systems
  • Experience with HVAC building automation systems, including development and/or review of operating sequences for equipment and systems
SmartExplore AI is experimental.
New, Posted 1 day ago
Recommended
Apply Directly
BMS Control System Technician

JLL

Mountain View, CA

Associate's Degree

Heating Ventilation Air Conditioning Certification (HVAC)

Within 15 miles of Mountain View, CA

~ 21 min OnsiteUrgently Hiring

  • Associates degree in mechanical engineering or a related facilities engineering field with relevant controls experience
  • Demonstrated experience in HVAC engineering fundamentals, including trend analysis
  • Demonstrated ability to organize and manage multiple simultaneous projects
  • 4+ years of experience in facilities HVAC and control systems
  • Experience with HVAC building automation systems, including development and/or review of operating sequences for equipment and systems
SmartExplore AI is experimental.
Quality Control Chemist

DataAnnotation

Mountain View, CA

$40/hr
Bilingual Preferred
New, Posted 20 hours ago
Apply Directly
Senior Principal Engineer- AI-based Autonomous Driving Systems

Bosch Group

Sunnyvale, CA

~ 19 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Proficient in coding e.g. with C++, Python
  • Master or PhD in Computer Science, Electrical Engineering or similar
  • Proven industry experience in product development and public road release of AI-based autonomous driving systems
  • 10+ years of experience in data-driven software engineering and product development of AI-based autonomous driving systems
  • Excellent leadership and communication skills to effectively lead and collaborate with R&D teams
  • Profound knowledge in mapping AI-models on embedded and resource constrained hardware
  • Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
  • Knowledge of PaaS approach using cloud as a foundation, e.g. MS Azure
SmartExplore AI is experimental.
Recent Searches

    Privacy PolicyTerms of Use, and Your Privacy Choices