GNC Engineer for Unmanned Vehicles

ManpowerGroup Global, Inc.

Logan (UT)

On-site

USD 90,000 - 120,000

Full time

7 days ago
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Benefits offered by this job

Medical Plan
Dental Plan
Vision Plan
HSA
FSA
Life Insurance
Disability Insurance
Business Travel Insurance
401(k) Match
Weekly Pay

Job summary

ManpowerGroup Global, Inc. is seeking a GNC Engineer in Logan, Utah, onsite. You will join the engineering department to support control systems development and localization solutions for unmanned vehicles.

The ideal candidate will demonstrate strong problem-solving, adaptability, and collaboration, designing, testing, and documenting control algorithms and publishing research findings with the team.

Qualifications

  • Master's or PhD in Mechanical or Electrical Engineering with emphasis on Controls and Localization.
  • 4-7 years of industry experience in control systems development.
  • Proficiency in StateSpace Control, Localization, and State-of-the-Art Controllers.
  • Experience designing control and localization algorithms.
  • Strong Python, C/C++, and ROS skills.

Responsibilities

  • Design and develop advanced controls and localization algorithms for ground vehicles.
  • Model mechanical and electrical systems to simulate and verify control solutions.
  • Assist in testing and debugging control implementations to ensure optimal performance.
  • Document designs, analysis, and results in detailed reports.
  • Collaborate with engineering teams to publish research findings.

Skills

Control systems development
Algorithm design
Localization algorithms
Python
C/C++
ROS

Education

Master's or PhD in Mechanical or Electrical Engineering (Controls & Localization)

Tools

StateSpace Control
Localization
State-of-the-Art Controllers

Job description

ManpowerGroup Global, Inc. is seeking a GNC Engineer in Logan, Utah, onsite. You will join the engineering department to support control systems development and localization solutions for unmanned vehicles.

The ideal candidate will demonstrate strong problem-solving, adaptability, and collaboration, designing, testing, and documenting control algorithms and publishing research findings with the team.

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