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Low Latency Java C Trading Engineer

Los Angeles,CA

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643 Low Latency Java C Trading Engineer jobs in Los Angeles,CA

New, Posted just now
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Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

Glendale, CA 91205

$136,100-$182,400/yr
New, Posted 18 hours ago
Senior Specialist, Software Engineering

L3Harris Technologies Careers

Anaheim, CA 92804

Bilingual Preferred
New, Posted 13 hours ago
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Manufacturing Engineer (Experienced and Lead Level)

Boeing

Long Beach, CA 90802

~ 29 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics.
  • Extensive experience with Boeing engineering requirements and processes.
  • Experience working with suppliers and component manufacturing.
  • Ability to collaborate with suppliers, all Boeing Programs, manufacturing teams and other supporting stakeholders.
  • Ability to present to senior and executive leadership.
  • 5+ years' related work experience or an equivalent combination of education and experience.
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New, Posted 18 hours ago
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Lead Machine Learning Engineer, Ads Research

Disney Entertainment and ESPN Product & Technology Careers

Santa Monica, CA 90405

$171,600-$230,100/yr
New, Posted 18 hours ago
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Lead Data Platform Engineer

The Walt Disney Company (Corporate) Careers

Burbank, CA 91505

$155,700-$208,700/yr
New, Posted 6 hours ago
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IT & Operational Technology (OT) Support Engineer

Royal Vopak

Wilmington, CA 90744

$78,000-$82,000/yr
~ 24 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 2-4 years of hands-on IT support experience in a field, industrial, or multi-site environment.
  • Experience supporting Windows endpoints, laptops, peripherals, printers, and mobile devices in a corporate environment.
  • Working knowledge of ITSM tools (e.g., ServiceNow) and familiarity with ITIL-based incident and request management processes.
  • Experience maintaining asset inventories and configuration data (CMDB exposure preferred).
  • Exposure to network troubleshooting (basic connectivity, switches, VLAN awareness, Wi-Fi diagnostics).
  • Experience supporting meeting room or collaboration technologies (Google Workspace, conferencing systems, ClickShare, etc.).
  • Familiarity with Active Directory user administration (account provisioning, access management, group membership).
  • Associate's degree in Information Technology, Computer Science, Information Systems, or a related technical field.
  • Alternative: Relevant technical training from a recognized vocational or trade school program.
  • Relevant technical certifications are a plus (e.g., CompTIA A+, Network+, ITIL Foundation, Google Workspace, Microsoft, or similar).
  • The Target Compensation for this role is $78,000-$82,000 per year.
  • Applicants must be eligible to work in the United States.
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New, Posted 18 hours ago
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Lead Software Engineer-Licensing/AI Systems

Disney Experiences Careers

Glendale, CA 91205

$155,700-$208,700/yr
New, Posted 18 hours ago
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Sr Data Scientist

Disney Direct to Consumer Careers

Santa Monica, CA 90405

$141,900-$190,300/yr
New, Posted 18 hours ago
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Staff Software Engineer - ServiceNow ITAM

The Walt Disney Company (Corporate) Careers

Burbank, CA 91505

$148,300-$198,800/yr
New, Posted 6 hours ago
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Factory Simulation Engineer (Omniverse), Special Projects

Hadrian

Los Angeles, CA 90012

Visa Sponsorship Available

OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Software Engineering, Mechatronics, Industrial Engineering, or a related field (or equivalent practical experience).
  • 2-4 years of hands-on experience with Omniverse and/or robotics or factory simulation environments.
  • 2+ years of engineering experience in a factory, manufacturing, or industrial setting.
  • Proficiency in Python (OOP) and/or C++, with experience using simulation or visualization APIs.
  • Experience working with CAD data and industrial layouts.
  • Demonstrated ability to make data-driven recommendations that improve production or operational metrics.
  • Experience modeling multiple process technologies and production flows based on incomplete or low-fidelity inputs.
SmartExplore AI is experimental.
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