GNC Algorithm Engineer - Electro-Optical Sensors

Mavensoft Technologies, LLC.

Chandler (AZ)

On-site

USD 117,000 - 165,000

Full time

5 days ago
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Job summary

Mavensoft Technologies, LLC seeks a GNC Algorithm Engineer specializing in Electro-Optical Sensors to work on guidance, navigation and control systems in Chandler, AZ. This is an on-site, 12-month contract located in Chandler, AZ, USA.

The role requires US citizenship and the ability to obtain/maintain a Secret clearance, with travel up to 10%. Work authorization is US citizen; candidates must be able to obtain/maintain clearance.

Qualifications

  • Experience with Kalman Filtering.
  • Signal processing experience for guided missiles/interceptors.
  • Proficiency in C++, MATLAB and Python for algorithms.
  • Strong foundation in probability theory and statistics.
  • Experience with Electro-Optical imaging systems.
  • Travel 10% of the time.

Responsibilities

  • Designs, develops, implements, verifies and tests algorithms and software and simulation tools to perform guidance, navigation and control of aircraft, spacecraft, submersibles, surface ships, missiles, launch vehicles and upper stages during powered and coast phases of launch, flight, earth orbit, interplanetary cruise and orbital insertion, as well as during staging events.
  • Navigation functions include the statistical processing of measured data points and their substitution into algorithms simulating physical reality.
  • Guidance functions include the formulation of specific equations to achieve a desired position, orientation or orbit in space.
  • Control design and analyses processes consist of the development of control laws and hardware and software requirements for aircraft, launch vehicles and/or spacecraft.

Skills

GNC algorithms
missile guidance
Kalman Filter
EKF
UKF
Digital signal analysis
sensor signal processing
Electro-Optical imaging systems
Onboard/offboard sensor fusion
multi-sensor integration
C++
MATLAB
Python
algorithm development
Monte Carlo simulation

Education

Master's degree in Electrical Engineering
PhD in Electrical Engineering or Applied Mathematics

Tools

C++
MATLAB
Python

Job description

GNC Algorithm Engineer - Electro-Optical Sensors
  • Chandler, AZ

Role: GNC Algorithm Engineer - Electro-Optical Sensors

Duration: 12 months

Location: Chandler, AZ (On-Site)

Terms: W2 Contract

Work Authorization: US Citizen; must be able to obtain/maintain a Secret security clearance

Key Skills: GNC algorithms, missile guidance, Kalman Filter, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Digital signal analysis, sensor signal processing, Electro-Optical (EO) Imaging Systems , Onboard/offboard sensor fusion, multi-sensor integration, C++, MATLAB, Python, algorithm development, Monte Carlo Simulation & Analysis

Responsibilities:

  • Designs, develops, implements, verifies and tests algorithms and software and simulation tools to perform guidance, navigation and control of aircraft, spacecraft, submersibles, surface ships, missiles, launch vehicles and upper stages during powered and coast phases of launch, flight, earth orbit, interplanetary cruise and orbital insertion, as well as during staging events.
  • Navigation functions include the statistical processing of measured data points and their substitution into algorithms simulating physical reality.
  • Guidance functions include the formulation of specific equations to achieve a desired position, orientation or orbit in space.
  • Control design and analyses processes consist of the development of control laws and hardware and software requirements for aircraft, launch vehicles and/or spacecraft.
Required Qualifications
  • Experience with Kalman Filtering.
  • Experience with signal processing for guided missiles and/or interceptors.
  • Proficiency in creating and maintaining algorithms and analysis tools in C++, MATLAB and Python.
  • Strong foundation in probability theory / statistics.
  • Experience with Electro-Optical imaging systems.
  • Travel 10% of the time.
Preferred Qualifications
  • Advanced degree in electrical engineering, aerospace engineering, physics, or applied math.
  • Experience with onboard/offboard sensor fusion.
  • Experience with analyzing large Monte Carlo data sets and/or experience with designing and analyzing simulation experiments.
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