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Staff Magnetic Engineer (Motor/Generator Design)

General Atomics Intelligence

Posted 1 week ago
Secret
Unspecified
Unspecified
Engineering - Mechanical
Poway, CA (On-Site/Office)

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

We have an exciting opportunity for a Staff Magnetic Engineer (Motor/Generator Design) to join our GA-ASI division in San Diego, CA (Poway, CA). Under general directions with limited review, this position will test and analyze advanced electromagnetic/electromechanical components and equipment for unmanned air vehicles (UAVs).

DUTIES AND RESPONSIBILITIES:
  • Responsible for the design and development, documenting, testing, troubleshooting and implementation of DC motors and/or generators for new and legacy designs.
  • Lead the complete life cycle of electric motor and/or generator assemblies, including definition, analysis, design, development, manufacturing, assembly, verification, and ground and flight integration.
  • Create and/or work with vendors to optimize electromagnetic machines based on system and customer requirements.
  • Collaborate with various cross-functional teams, such as technicians, manufacturing, propulsion, actuation, motor drive, motor controls, generator controls, and system engineers.
  • Provide support for the following legacy electromagnetic machines and components: Alternator/Generator machines, Brushed DC motors, Brushless DC motors, Fail-Safe Brakes, Solenoids, Voice Coils, Resolvers, Encoders, and Hall and Proximity Sensors.
  • Responsible for documenting new designs, writing test plans, and processing engineering change notices as required.
  • Provide support for onboard aircraft integration, production, and field support tests as needed.
  • Responsible for all documentation necessary to support production (verification test plans and test reports, production test procedures, BOMs, CRs, CNs, and Source Control Drawings) as well as trade studies for new designs.
  • Determines technical objectives for solution(s) to advanced technical engineering problems.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
  • 5+ years' experience with electric machine design preferred.
  • Fundamental knowledge of different types of electromagnetic machines (motors and/or generators)
  • Experience with electric motor manufacturing processes such as stator windings, lamination stacking, stator varnishing, and various insulation classes.
  • Knowledge of magnetic machine design of DC motors and generators.
  • Electromechanical experience with electric motors and generators, including collaboration with suppliers to identify COTS components and custom modifications as needed.
  • Experience with FEA tools such as ANSYS Maxwell preferred.
  • Experience with 3D mechanical design is preferred.
  • Experience with modeling/controlling motors and generators is preferred.
  • Must be able to work both independently and in a team environment.
  • Able to work extended hours as required.
  • Maintains strict confidentiality of sensitive information.
  • Ability to obtain and maintain a DoD security clearance is required.
group id: 10414685
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About Us
GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!

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