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Embedded Software Engineer

Richmond,CA

795 Embedded Software Engineer jobs in Richmond,CA

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Combat Engineer - Start Your Career with the US Army

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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New, Posted 21 hours ago
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Staff Electrical Engineer

QinetiQ

Novato, CA 94947

~ 29 min Onsite

  • BSEE or equivalent with 2-4 years of experience
  • Experience with CAD tools used for electro-mechanical designs and BOM management
  • Ability to work independently and manage tasking prioritization
  • Hands on experience with standard lab and shop tools
  • Must be able to obtain and maintain a DoD Clearance if required
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System Protection Engineer

PG&E Corporation

San Ramon, CA 94583

Hybrid~ 46 min

  • Bachelor's degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US
  • 3 years of cumulative experience in the field of system protection
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Field Service Engineer II (SDB/SEM) Bay Area

Thermo Fisher Scientific

South San Francisco, CA 94080

~ 37 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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Manager, AI Engineer

KPMG

San Francisco, CA 94112

~ 25 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
SmartExplore AI is experimental.
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New, Posted 1 hour ago
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Senior Software Engineer

Mechanize

San Francisco, CA 94112

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Manufacturing Engineer

Murata Power Solutions

Concord, CA 94520

$90,000/yr
~ 32 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.
SmartExplore AI is experimental.
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