Systems Engineer

Lockheed Martin•Uniondale, NY

2d•Hybrid

About The Position

At Lockheed Martin, we engineer innovative solutions to deliver resilient systems, products, and services across evolving cyber threats. As risks to hardware, software, and supply chains continue to rise, our customers require advanced solutions to mitigate growing vulnerabilities and ensure our systems can operate in cyber contested environments. Strong resiliency-focused engineering is essential to protecting Rotary and Mission Systems (RMS) platform/weapon systems from increasingly sophisticated cyber threats. Lockheed Martin RMS is seeking a Systems Engineer responsible for advancing the development of digital twin architectures for the U.S Navy's strategic navigation submarine programs. In this role you will collaborate with cross functional teams to create a scalable virtual replica that supports Agile development, early/advanced integration and testing, design validation, predictive maintenance, troubleshooting using lab and field data, performance optimization, and lifecycle management. You will define the overall digital twin architecture, including data ingestion pipelines, simulation models and engines, analytics layers, and visualization frameworks and then validate the functionality against lab and field data. You will produce detailed design documents and be expected to conduct training sessions and workshops for internal and external stakeholders. Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. We use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

Requirements

Bachelor’s degree from an accredited college in a related discipline such as Electrical/Mechanical Engineering, Computer Science, Mathematics or Physics
Applicable technical experience on digital twin or model based systems engineering (MBSE) projects
Proficiency with simulation tools (e.g. Simulink) and scripting languages (Python, MATLAB, C++/C)
Ability to work collaboratively on an Agile team with both local and geographically distributed teammates including subcontractors, technical agents and customers
Excellent demonstrated interpersonal and time management skillsets
Must be a US citizen; this position will require a government security clearance

Nice To Haves

Advanced degree from an accredited college in a related discipline such as Electrical/Mechanical Engineering, Computer Science, Mathematics or Physics
Experience with MBSE tools
Knowledge of Python, Pytorch, ONNX, and general AI/ML tools and libraries
Familiarity with coding in C and C++
Proficient working within both Windows and Unix/Linux environment
Basic understanding of time-domain (Kalman, Least-Squares, etc) and frequency-domain filtering (Low-Pass, High-Pass, Band-Pass, Notch, etc)
Familiarity with Position, Navigation, and Timing with and without GPS
Familiarity with Inertial Navigation algorithms
Familiarity with Estimation and Guidance algorithms
Familiarity with active SONAR systems (Correlation Velocity Log, Doppler Velocity Log, etc) and underwater platforms

Responsibilities

Advancing the development of digital twin architectures for the U.S Navy's strategic navigation submarine programs
Collaborate with cross functional teams to create a scalable virtual replica that supports Agile development, early/advanced integration and testing, design validation, predictive maintenance, troubleshooting using lab and field data, performance optimization, and lifecycle management
Define the overall digital twin architecture, including data ingestion pipelines, simulation models and engines, analytics layers, and visualization frameworks
Validate the functionality against lab and field data
Produce detailed design documents
Conduct training sessions and workshops for internal and external stakeholders