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Chief Engineer

San Francisco,CA

697 Chief Engineer jobs in San Francisco,CA

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Amazon.com Services LLC - San Francisco, CA

Sr. Technical Program Manager, Amazon Music Technology
OnsiteHealth InsurancePaid Time OffRetirement Benefit
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Supplier Quality Engineer

PG&E Corporation

Oakland, CA 94612

~ 23 min Onsite

  • A 4-year BS Degree in Electrical, Civil, Mechanical or other related Engineering degree as appropriate from an accredited curriculum in the US or the equivalent from outside the US.
  • Mastery of the Associate level Engineer job duties or equivalent and demonstrated knowledge and ability to perform the basic duties of the Journey level Engineer.
  • Meets specific technical requirements gained through a minimum of 3 years of work experience in a supplier quality and/or manufacturing environment.
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Chief Strategy and Expansion Officer

First Place for Youth

Oakland, CA 94601

New, Posted 1 day ago
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Unmanned Ground Vehicle (UGV) Systems Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineering, Aerospace Engineering, or a related technical discipline.
  • 10+ years of experience supporting defense systems engineering programs, including experience with unmanned or robotic systems.
  • Secret Clearance Required; #qinetiqclearedjob
  • Demonstrated knowledge of systems engineering principles across the full system life-cycle.
  • Experience supporting the integration of complex hardware and software systems.
  • Experience with requirements management, interface management, technical reviews, and engineering documentation.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to communicate effectively with government and contractor stakeholders.
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Sr. Manager, Engineering - Linux

Aptiv PLC

Walnut Creek, CA 94598

~ 36 min OnsiteHealth Insurance

  • Bachelor's degree in computer science, Electrical Engineering, or related field
  • 10+ years of engineering experience
  • 5+ years of engineering management experience including senior leadership roles
  • Experience managing teams of 30+ engineers
  • Background in embedded systems, Linux, or systems software
  • Strong understanding of embedded Linux systems
  • Experience with Linux kernel development or user space applications
  • Knowledge of software development lifecycle and agile methodologies
  • Familiarity with build systems, CI/CD, and development tools
  • Understanding of code review processes and quality assurance
  • Experience with technical architecture and strategic planning
  • Proven ability to lead and develop engineering teams
  • Strong communication and interpersonal skills
  • Experience with performance management and career development
  • Ability to balance technical and business priorities
  • Project management and resource allocation experience
  • Strong customer engagement and stakeholder management skills
  • Experience mentoring senior engineers and technical leads
  • Strong public speaking and presentation abilities
  • Team management – Manage a team of up to 40 engineers including Managers, MTS, SMTS, and Senior Engineers
  • Conduct regular 1-on-1s, performance reviews, and career development discussions
  • Facilitate team meetings, sprint planning, and retrospectives
  • Resolve conflicts and maintain team cohesion
  • Ensure team members have necessary resources and support
  • Provide mentorship to junior managers and technical leads
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Manufacturing Engineer

Murata Power Solutions

Concord, CA 94520

$90,000/yr
~ 43 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related field preferred.
  • 3-7 years of Manufacturing Engineering experience in DC/DC converters, AC/DC power supplies, power electronics, or related electronics manufacturing environments, with expertise in tooling design and implementation, process development, production support, and continuous improvement initiatives.
  • Strong understanding of manufacturing process development, industrialization, process validation, and manufacturing readiness for medium to high-volume production.
  • Experience developing assembly processes, production equipment, fixtures, and tooling.
  • Experience supporting New Product Introduction (NPI) and manufacturing transfers.
  • Ability to manage multiple projects and priorities in a fast-paced manufacturing environment.
  • Strong communication and cross-functional collaboration skills.
  • Knowledge of Lean Manufacturing, Six Sigma, PFMEA, DFMEA, Control Plans, APQP, PPAP, SPC, MSA, DOE, and process validation methodologies.
  • Experience with ERP/MRP systems (ARAS, Avante, Factory Logic, or equivalent) for BOM management, Engineering Change Orders (ECO/ECN), and manufacturing planning.
  • Strong understanding of ergonomic workstation design and occupational safety standards (OSHA or equivalent).
  • Experience using structured problem-solving methodologies including 8D, DMAIC, A3, 5 Why, Fishbone, and CAPA.
  • Proficiency with SolidWorks for fixture and tooling design.
  • Experience with robotics, PLC-controlled automation, vision inspection systems, servo systems, and collaborative robots (Cobots) is an asset.
  • Candidates must currently reside within commuting distance of the work location. Relocation assistance is not offered, and applicants must be legally authorized to work in the country without current or future visa sponsorship.
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Field Service Engineer II (SDB/SEM) Bay Area

Thermo Fisher Scientific

South San Francisco, CA 94080

~ 21 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • 3+ years of hands-on technical experience in electronic systems, installing, troubleshooting, repairing, and calibrating sophisticated analysis tools such as SEM, TEM, FIB, Ion Beam&focusarea;=Search All, or similar systems
  • A detailed understanding and extensive experience diagnosing and repairing ultra-high vacuum and high voltage systems, or similar systems
  • Ability to deal effectively with customers
  • Professional working proficiency in English
  • Consistent record of fixing sophisticated systems and subsystems down to the component level
  • Literate in MS DOS and Windows software environments
  • Able to read and interpret schematics
  • Familiar with UHV phenomenon and technology
  • Must have ability to acquire a valid passport and travel regionally and internationally as required
  • Must possess a valid driver's license
  • Physical requirements include the ability to lift up to 50 lbs.
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Senior Additive Manufacturing Engineer

Velo3D

Fremont, CA 94536

$145,000-$155,000/yr
~ 49 min OnsiteHealth InsuranceRetirement Benefit

  • 8+ years of hands-on experience in metal additive manufacturing, production engineering, or advanced manufacturing environments.
  • Bachelor's or Master's degree in Industrial Engineering, Manufacturing Engineering, Materials Science, or a related technical discipline.
  • U.S. Citizenship required due to the nature of company government contract work and associated security requirements.
  • Strong understanding of GD&T;, dimensional inspection methods, scan-based metrology, and translating measurement data into process improvements and compensation strategies.
  • Demonstrated experience leading structured continuous improvement initiatives in a production environment, including problem definition, experimentation, data analysis, implementation, and standardization.
  • Ability to work effectively on the manufacturing floor, collaborate directly with operators and technicians, and resolve technical challenges in real time.
  • Strong communication and leadership skills with the ability to influence and align stakeholders across engineering, operations, quality, program management, and executive leadership.
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Sr. IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA 94501

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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 49 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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