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Asic Verification Engineer

Tacoma,WA

1131 Asic Verification Engineer jobs in Tacoma,WA

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Combat Engineer - Find Success in US Army

US ARMY

Seattle, WA 98115

Requires TravelEducation 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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Food Safety Quality Technician

Schwartz Brothers Restaurants

Renton, WA 98057

$23-$25/hr
Flexible ScheduleBilingual Preferred
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Food Safety Quality Technician

Schwartz Brothers Restaurants

Renton, WA 98057

$23-$25/hr
Flexible ScheduleBilingual Preferred
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Assistant Engineer PERM

Astrion

Seattle, WA 98115

~ 39 min Onsite

  • HS Diploma or equivalent
  • Ability to pass a federal background check to obtain and hold a DoD Common Access Card (CAC)
  • Current U.S. Citizenship Required
  • Ability to pass a post offer drug screen and physical/medical clearance
  • Current and Valid U.S. Passport
  • Two (2) years' experience as an engineer
  • Shall hold an Oceans U.S Coast Guard national and international/STCW credential as Assistant Engineer of motor vessels powered by engines of not less than 2500 HP, or as an USCG Designated Duty Engineer (Unrestricted) with a minimum of 3 years' experience in those classes
  • CERTIFICATION: U.S Coast Guard national and international/STCW credential as Assistant Engineer of motor vessels powered by engines of not less than 2500 HP, or as an USCG Designated Duty Engineer (Unrestricted)
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Heavy Equipment Operator Training - 14 Weeks Paid + Benefits

U.S. Army Reserve

Seattle, WA 98115

~ 39 min OnsiteEducation 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.
SmartExplore AI is experimental.
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Heavy Equipment Operator Training - 14 Weeks Paid + Benefits

U.S. Army Reserve

Olympia, WA 98501

~ 28 min OnsiteEducation 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.
SmartExplore AI is experimental.
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Combat Engineer

US ARMY

Vancouver, WA 98682

Requires TravelEducation 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.
SmartExplore AI is experimental.
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Site Risk&Due Diligence Manager, Risk and Resiliency

Amazon Data Services

Seattle, WA 98127

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Manager, AI Engineer

KPMG

Seattle, WA 98115

~ 39 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
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Senior UX Designer, Enterprise Engineering

Amazon.com Services LLC

Seattle, WA 98127

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