Principal Systems Modeling Simulation Engineer – Global Algo Engr (26-282)

Northrop Grumman•Colorado Springs, CO

3d•$94,200 - $141,200•Onsite

About The Position

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems—Missile Defense Integration offers an excellent opportunity for a Principal Systems Modeling and Simulation Engineer – Global Algorithm Engr (26-282) to join our team of skilled and diverse professionals. Based in Colorado Springs, CO, this role is essential to supporting the U.S. President, the Secretary of Defense, and combatant commanders at the strategic, regional, and operational levels. This position does not provide relocation assistance and requires on-site work with no remote options. Position Overview: The Command and Control, Battle Management, and Communications (C2BMC) program is a key component of the Missile Defense System. It is a vital operational system that enables the U.S. president, the Secretary of Defense, and combatant commanders at strategic, regional, and operational levels to plan ballistic missile defense operations systematically, collectively monitor the battle, and dynamically control networked sensors and weapon systems to achieve global and regional mission goals. C2BMC supports layered missile defense capabilities that enable an optimized response to threats across all ranges and flight phases. It serves as a force multiplier by networking, integrating, and synchronizing autonomous sensor and weapon systems and operations, both globally and regionally, to improve performance. C2BMC is essential for all ground and flight tests that verify and demonstrate the current and future capabilities of missile defense systems. As an Algorithm Engineer on C2BMC, you will design, integrate, and test algorithms related to modeling, tracking, planning, and sense-making. You will also develop and validate complex simulations. Collaborating with a skilled team of computer scientists, data scientists, software engineers, and systems engineers, you will support various C2 efforts.

Requirements

Experience in algorithm design, systems engineering, systems analysis, and software engineering.
Working proficiency in software languages (including Java, Python, and MATLAB).
Experience designing algorithms, deep background in mathematics, and proficient understanding of physics.
Algorithms developed include state estimation, nonlinear optimization, and machine learning.
Strong technical writing skills are required because all algorithms are thoroughly documented.
A Bachelor’s Degree in Computer Science, Systems Engineering, Calculus, Mathematics, Physics, or a related field from an accredited university, along with 5 years of experience; or a Master’s degree in a related field with 3 years of relevant work experience; or 9 years of relevant work experience may be considered as an alternative to a degree.
Current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start.
Experience with professional algorithms in at least one of the following areas: optimization, machine learning, state estimation, or signal processing.
Proficient in Java, Python, and MATLAB.
Model physics simulations to gain hands-on experience.
Experience in systems analysis and Sabermetrics-like studies focused on identifying trends, improving processes, and reducing errors.
Processes related to Software Quality Engineering and related disciplines, including Systems Engineering Methodologies such as Model-Based Approaches and DoDAF.
Basic understanding of programming languages (such as Java and Python).
Experience with coding and peer review.
Skilled reviewer of technical documents.
Skilled in conducting root cause analysis.
Process auditing experience.
Degree in advanced mathematics with specialization in physics.
Self-starter who is detail-oriented, well-organized, and able to prioritize and complete tasks in a dynamic and demanding environment.
Strong interpersonal and conflict management skills, working in a diverse environment and across many disciplines.
Excellent written and verbal communication skills, able to create and deliver briefings and status reports.

Nice To Haves

Good grasp of numerical computation methods and data science fundamentals.
Professional applications of Linear Algebra, Statistics, and Calculus.
Grasping numerical computing methods and designing mathematical algorithms.
Professional experience with software development tools such as Git, Maven, and common IDEs.
Knowledge of aerodynamics and astrodynamics.

Responsibilities

Design, integrate, and test algorithms related to modeling, tracking, planning, and sense-making.
Develop and validate complex simulations.
Support various C2 efforts by collaborating with computer scientists, data scientists, software engineers, and systems engineers.