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Northrop Grumman · 7 hours ago

Sr Staff Software Engineer - R10217004

Los Angeles, CA

Full-time

Onsite

Senior Level, Lead/Staff

$193K/yr - $289K/yr

15+ years exp

Northrop Grumman is a leading aerospace and defense technology company, and they are seeking a Sr Staff Software Engineer to design, develop, implement, verify, and test algorithms and software for guidance, navigation, and control systems. The role involves working on revolutionary systems that impact lives around the world, requiring deep experience in navigation algorithms and simulation techniques.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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 the control laws and hardware and software requirements for aircraft, launch vehicles and/or spacecraft

Qualification

Algorithm DesignNavigation AlgorithmsKalman FiltersGNSS KnowledgeSimulation AnalysisEmbedded ProcessingMatlabSimulinkSoft Skills

Required

15-20 years of demonstrated practical experience in the following areas. This includes not just the academic textbook knowledge but demonstrated experience in designing, debugging, and tuning a real-world navigation system

Navigation and Sensor Fusion Algorithms

Strapdown Navigation Algorithms (including coning, size effects and sculling corrections)

Design of loosely coupled, tightly coupled, and deeply integrated GNSS/INS solutions

Integration of non-GNSS aiding sources (vision, LIDAR, radar, altimeters)

Practical experience in tuning of the extended Kalman Filter and ability to design and implement from first principles

Confidence bounding and integrity monitoring

Inertial Sensors (accelerometers and gyros)

Inertial sensor calibration techniques and algorithms to identify classical instrument errors (bias, scale factor, misalignments, g-sensitivities, noise, etc.)

Algorithms for factory calibration (Nav. Cal, Table Cal, and Kalman Cal)

Inertial sensor mechanization (control loops, digital processing, and compensations)

Signal Processing and Data Handling

GNSS signal acquisition, tracking, and demodulation and simulation (preferred not required)

Analyze impacts of multipath, Doppler, interference, spoofing

PNT System Level Simulation and Analysis

Error Covariance Simulation

Monte-Carlo Simulations

Error Propagation Simulation

Whole Value Simulations

Sensor Modeling

Inertial Sensor Error Modeling

Inertial Sensor mechanization and control

GNSS Signals acquisition, processing, and emulation

GNSS signal acquisition, tracking, and demodulation and simulation

Analyze impacts of multipath, Doppler, interference, spoofing

Master's of Science degree in a STEM discipline (Science, Technology, Engineering, Math) with 15+ years of engineering experience OR PHD in a STEM discipline (Science, Technology, Engineering, Math) 10 years of relevant experience

Deep understanding of Kalman Filters for navigation

Proven ability to optimize algorithms for real-time embedded processing

Experience with GPS integrity testing for DO-229 compliance

Comprehensive knowledge of GNSS, RNAV, RNP, LNAV/VNAV, and WAAS

Experience with trajectory development for navigation testing

US Citizenship is required

Ability to obtain a DoD Secret clearance within a timeframe set forth by management

Ability to work onsite full-time at Woodland Hills, CA