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General Dynamics Mission Systems InternationalPosted 1 month ago

Guidance Advanced Systems Engineer

$118,519–$118,519 year

HybridPittsfield, Massachusetts, United States

Full TimeMasters DegreeLarge

Job Summary

Conduct analysis, design, implementation, and test activities for guidance systems within the Advanced Guidance Lab and Guidance Development Lab. Support ongoing Internal Research & Development in inertial guidance, including concept development, test equipment tools, and lab infrastructure. Deliver innovative, flexible, integrated solutions while performing work under minimal supervision with strong oral and written communications skills. Demonstrate a scientific background in Guidance Navigation & Controls and advance GDMS technology using MATLAB, embedded programming, and simulation. Lead small teams of engineers and engage in programs aligned with General Dynamics Mission Systems culture and strategy. Maintain compliance with all policies and procedures while following industry trends to ensure services meet or exceed best practices.

Required Qualifications

  • Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field
  • Minimum of 5 years of relevant experience
  • Master's degree
  • Minimum of 3 years of relevant experience
  • Department of Defense Secret security clearance
  • U.S. Government security investigation eligibility
  • Eligibility requirements for access to classified information
  • U.S. citizenship
  • Good oral and written communications skills
  • Ability to perform work assignments under minimal supervision
  • Ability to support frequent communications within and across Integrated Product Teams
  • Scientific background
  • Understanding of Guidance Navigation & Controls
  • Experience with MATLAB
  • Experience with engineering systems
  • Ability to further advance GDMS technology
  • Passion for innovation
  • Sophisticated understanding of various engineering systems
  • Ability to further advance General Dynamics Mission Systems technology
  • Knowledge and understanding of electronics and electrical systems
  • Operations of basic laboratory environments and equipment
  • Leadership Experience (leading a small team of engineers)
  • Model Based Systems Engineering (MBSE) experience
  • AI experience
  • Circuit design and analysis
  • FPGA design
  • Closed loop control
  • Simulation and modelling experience
  • Experience with embedded programming (C, C++, Python, JavaScript) and microcontrollers
  • Basic knowledge of inertial sensors
  • Familiarity with Estimation theory, filtering, and data reduction
  • Agile Method experience
  • Familiarity with LabView

Desired Qualifications

  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)

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