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Engineering Engineering

San Francisco,CA

811 Engineering Engineering jobs in San Francisco,CA

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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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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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Combat Engineer - Entry Level

US ARMY

Monterey, CA 93940

Requires TravelUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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We're Hiring Engineers at ZipRecruiter!

ZipRecruiter

Oakland, CA 94601

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Senior Substation Project Engineer

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

  • BS Degree in Electrical Engineering from an accredited curriculum in the US or the equivalent from outside the US
  • 8 years of cumulative experience in electrical engineering and design
  • Current California PE license
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Quality Inspector

Morgan Advanced Materials

Hayward, CA 94544

~ 40 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or equivalent
  • Experience in a quality inspection role within a manufacturing environment
  • Strong understanding of blueprint and drawing interpretation, including GD&T; and ANSI Y14.5 standards
  • Hands-on experience with inspection equipment and precision measuring tools
  • Ability to create and manage inspection programs using Vertex equipment
  • Good communication skills and a collaborative approach to problem-solving
  • Ability to work with limited supervision while supporting a team environment
  • Comfortable lifting up to 35 pounds as part of normal job duties
  • Ability to meet pre-employment screening requirements
  • Eligibility to work in the United States in accordance with applicable regulations
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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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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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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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Nuclear Engineer

US Navy

Millbrae, CA 94030

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