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Aerospace+Engineer

Seattle,WA

644 Aerospace+Engineer jobs in Seattle,WA

New, Posted 8 hours ago
Sales Engineer (Power Supply Expert)

Sager Electronics

Kirkland, WA 98033

$73,710-$122,200/yr
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Systems Dev Engineer - Environmental Testing, Amazon Leo

Amazon Kuiper Manufacturing Enterprises LLC

Kirkland, WA 98034

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Hands-on experience testing fiber optic/photonic components or RF components, including operating relevant instrumentation
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
  • Bachelor's degree in electrical engineering, aerospace engineering, computer science or a related field.
  • 2+ years experience developing and executing test plans for complex aerospace, automotive or consumer electronics systems.
  • Experience with test automation frameworks (TestStand, Robot Framework, or similar) and troubleshooting test plans with automated scripts that execute test cases, record results, and handle exceptions
  • Experience working directly with production teams on the shop floor to resolve technical blockers and implement process changes
  • Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
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Combat Engineer - Entry Level

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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Senior UX Designer, Enterprise Engineering

Amazon.com Services LLC

Seattle, WA 98127

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 7+ years of UX designer or interaction designer experience
  • Have an online portfolio or samples of work on resume, demonstrating experience creating great end-to-end, user-centered design solutions and patterns, across desktop and mobile devices
  • 1+ years of working with or evaluating AI systems experience
  • Experience presenting to and effectively advising senior leaders outside of design
  • Deep experience architecting design systems (tokens, components, patterns, documentation)
  • Proficiency in code-based prototyping (HTML/CSS/JS) or AI-assisted development tools
  • Technical understanding of LLMs and how they inform product design decisions
  • Degree in Design, HCI, or a related field (or equivalent practical experience)
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New, Posted just now
Slitter Saw Machine Operator

General Plastics Manufacturing Company

Tacoma, WA 98409

$23-$27/hr
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Optical Instrument Technician - 94011

Boeing

Auburn, WA 98071

$37.32/hr
~ 32 min OnsiteHealth InsuranceRetirement Benefit

  • 2+ years of experience with Conventional and Compute Numerically Controlled (CNC) machines.
  • 1+ years of experience with optics, lasers, electronics, mechanical or instrumentation.
  • 1+ years of experience in optical equipment assembly and repair.
  • This position is expected to be 100% onsite.
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software engineer sr - ST; Seattle, WA

Starbucks

Seattle, WA 98127

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Manager, Salesforce Health Cloud & Agentforce Forward Deployed Engineer

KPMG

Seattle, WA 98115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum of five years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers
  • Bachelor's degree from an accredited College or University is required
  • Salesforce Certified Platform Developer I
  • Salesforce Certified Agentforce Specialist
  • Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred)
  • Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming)
  • Experience with Version Control (Git)
  • CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.)
  • Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required
  • Experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred
  • Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling)
  • Experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors)
  • Enterprise AI/ML services or external models
  • Agile/Scrum methodologies
  • Strong problem-solving, communication, and stakeholder management skills are preferred
  • Travel as required to support client engagements, team collaboration, and business development activities
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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Nuclear Engineer

US Navy

Woodinville, WA 98072

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Principle AI Architect

Weyerhaeuser

Seattle, WA 98164

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
  • 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms.
  • Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale.
  • Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms.
  • Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery.
  • Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS.
  • Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps.
  • Experience influencing technical direction across the enterprise through technical leadership rather than direct authority.
  • Excellent communication skills with the ability to engage executive, business, and technical audiences.
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