3311 Engineer Scientist Engineering Manager jobs in Sylmar,CA

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Quality Engineering Supervisor

Curtiss-Wright

Santa Clarita, CA 91350

~ 24 min OnsitePaid Time OffRetirement Benefit

Minimum 7+ years of progressive experience in Quality, Quality Engineering, or Manufacturing Quality within Aerospace, Defense, Electronics Manufacturing, or other highly regulated industries
Minimum 3+ years of experience leading quality activities and teams, to include mentoring teams, or serving as a technical quality resource
Must have at least 3 years of personnel supervision duties with direct reports to include but not limited to: Hiring, performance reviews and professional development planning
Experience with PCB/PCBA inspection, cable & harness assemblies, electronic assemblies, and interconnect systems
Experience interpreting engineering drawings, specifications, and inspection requirements
Experience with dimensional inspection and precision measurement tools
Experience working within AS9100 / ISO9001 Quality Management Systems

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Engineering Manager

Ontic

Chatsworth, CA 91311

Flexible Schedule

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Engineering Manager

MyTime

Los Angeles, CA 90001

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Quality Engineering Supervisor

Curtiss-Wright

Valencia, CA 91355

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Engineering Manager (Remote)

Huckleberry Labs

Los Angeles, CA 90001

$180,000-$220,000/yr

Remote

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Group Product Manager, Payments Product Journey

Netflix

Los Angeles, CA 90001

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Manager Digital Engineering 2

Northrop Grumman

Woodland Hills, CA 91364

New, Posted 6 hours ago

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VP Engineering

AEG Worldwide

Los Angeles, CA 90001

$300,000 bonus

Manager, AI Engineer

KPMG

Los Angeles, CA 90005

~ 33 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
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
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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