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Python

Glendale,CA

1653 Python jobs in Glendale,CA

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Engineer Software Quality

Northrop Grumman

Los Angeles, CA 90011

~ 17 min OnsiteHealth InsurancePaid Time Off

  • Bachelor's Degree in software engineering/computer science or other STEM-related field with 2 years of software development integration work experience; Master's Degree in software engineering/computer science or other STEM-related field with 0 years of software development and integration work experience
  • Ability to obtain and maintain a Secret Clearance
  • US Citizenship required
  • Experience in implementing Software Quality Assurance plans
  • The title denotes a regulated credential/license: Engineer Software Quality
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Staff Software Engineer, Platform Engineering

Snap

Los Angeles, CA 90006

$229,000-$343,000/yr
New, Posted 3 hours ago
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Senior Fab Quality Manager - InP Photonics

Semtech

Alhambra, CA 91801

~ 20 min Onsite

  • Master's Degree in Electrical/Electronic Engineering, Applied Physics, Materials Science, Optical Engineering or related degree.
  • Solid knowledge of III-V semiconductor device physics with emphasis on InP-based photonic devices including edge-emitting lasers, VCSELs, SOAs, and modulators.
  • Deep understanding of InP epitaxial growth processes (MOCVD/MBE), including material quality assessment, layer structure optimization, and defect management.
  • Solid knowledge of wafer fabrication processes specific to III-V compounds including dry/wet etching, metallization, passivation, cleaving, and AR/HR coating technologies.
  • 7+ years of demonstrated experience in quality engineering, product engineering, or process engineering within III-V semiconductor or photonics manufacturing environment.
  • Demonstrated experience implementing and maintaining ISO9001 and ISO14001 management systems in a manufacturing environment.
  • Effective communicator with the ability to interface at all levels within the organization, possessing a thorough written and verbal command of the English language.
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Manager, AI Engineer

KPMG

Los Angeles, CA 90005

~ 17 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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Software Engineer II

Disney

Glendale, CA 91222

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Manufacturing Engineer, Production

Hadrian

Los Angeles, CA 90011

~ 17 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering or another related STEM field
  • 4-6 years of engineering experience in a production environment
  • In lieu of a degree, at least 5-6+ years of experience in a high-intensity production environment may be considered
  • Familiarity with machining operations and experience working with very tight tolerances, especially in aerospace manufacturing
  • Comprehensive knowledge of GD&T
  • Familiarity with NPI frameworks (PPAP, FAI, or equivalent)
  • Proven ability to work collaboratively with cross-functional teams
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IAM Analyst

ENSONO

Los Angeles, CA 90006

$103,000-$120,000/yr
Flexible Schedule
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AWS Cloud Network Architect

NTT DATA Americas

Los Angeles, CA 90006

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CNC Programmer

SEB Professional

Montebello, CA 90640

$30-$38/hr
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Planner - TCS, CA

Delta Telemetry Systems

Los Angeles, CA 90011

$26.44-$31.25/hr
~ 17 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 0-2 years of experience in production planning, manufacturing operations, materials management, or a related field.
  • Bachelor's degree in Operations Management, Supply Chain Management, Industrial Engineering, Business, or a related field preferred.
  • Experience with ERP/MRP systems and production planning tools; Costpoint experience preferred.
  • Working knowledge of Manufacturing Orders, work orders, production scheduling, inventory management, and material requirements.
  • Ability to create, issue, manage, monitor, and relieve Manufacturing Orders accurately and efficiently.
  • Strong analytical and problem-solving skills, with the ability to identify scheduling, material, inventory, and production issues and take appropriate action.
  • Strong organizational skills and attention to detail, with the ability to manage multiple production jobs, Manufacturing Orders, schedules, and priorities simultaneously.
  • Ability to work effectively with Production, Purchasing, Engineering, Quality, and other departments to support production requirements.
  • Proficient in Microsoft Office applications, particularly Excel, Word, Outlook, and Teams.
  • Excellent written and verbal communication skills.
  • Ability to work independently and effectively in a fast-paced, team-oriented manufacturing environment.
  • Ability to adapt to changing production priorities and assist the Operations Manager with various production-related activities and projects.
  • Ability to maintain confidential information.
  • US person as defined by ITAR/EAR regulations.
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