1494 Software Full Stack Engineer jobs in Los Angeles,CA

Furientis

Los Angeles, CA 90011

Onboard Systems

Anaheim, CA 92801

Location: Anaheim, CA (Onsite)
Schedule: Monday - Friday
Bachelor's degree in engineering, Engineering Technology, or related technical field.
7–10+ years of experience in configuration management, engineering documentation, or product data management.
3–5+ years of leadership or supervisory experience.
Experience with PLM systems (e.g., Siemens Teamcenter, Dassault ENOVIA, or similar).
Strong understanding of engineering change management processes (ECR/ECO).
Experience managing CAD drawing control and BOM structures.
Must be able to read and interpret procedures required to meet the contractual requirements of the programs assigned.
Proficient with MS Office Suite (Word, Excel, PowerPoints, PDF editors)
Configuration and product data management
PLM and ERP system expertise
Engineering change control
Process improvement and documentation control
Strong analytical and organizational skills

RTC Aerospace

Chatsworth, CA 91311

Raytheon

Los Angeles, CA 90079

Disney

Glendale, CA 91201

10 or more years hands-on mechanical engineering experience.
Broad range of experience designing for various materials and processes.
Advanced engineering knowledge (e.g., statics, dynamics, tolerances, kinematics, stress/strain).
Ability to perform structural analysis by hand calculations and finite element methods.
Advanced engineering expertise (e.g., machine design, weldments, power train, materials).
Proficiency with design tools (e.g., SolidWorks, Navisworks, AutoCAD, SketchUp, ANSYS, FEA, Matlab).
Outstanding design sensibilities and creative problem-solving.
Ability to travel internationally and domestically to support the design efforts for our portfolio of theme parks around the world.
Bachelor's in Engineering Field, Science, Math OR have a PE License, required.

RD Rubber Technology Corporation

Santa Fe Springs, CA 90670

Hadrian

Torrance, CA 90503

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
ITAR Requirements: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State