Principal Systems Algorithm Engineer

Northrop Grumman

United States

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Health Plan
Savings Plan
Paid Time Off
Education Assistance
Training and Development

Job summary

Northrop Grumman is seeking a highly skilled professional to develop and evaluate novel EOIR sensor algorithms and physics-based models. You will work with a diverse team of physicists and engineers to advance EOIR capabilities for airborne and space-based platforms.

A strong candidate will have experience in algorithm development, EOIR sensing, and leading technical execution of R&D programs, with a focus on secure, software-enabled sensor solutions.

Qualifications

  • Bachelor's degree with 5 years of experience in STEM, or Master's with 3 years, or PhD with 1 year.
  • U.S. Citizenship is required.
  • Ability to obtain/maintain an active U.S. Government Secret Clearance and SAP access.
  • Experience in technical computing languages, e.g. Python or MATLAB.
  • Experience with airborne and/or space-based EOIR sensors.

Responsibilities

  • Develop, integrate, test, and deploy novel EOIR-centric algorithms.
  • Build and maintain physics-based sensor models.
  • Develop and quantify performance metrics for system performance.
  • Understand data quality and artifact impacts.
  • Represent system performance in functional and analytical models.
  • Lead technical execution of R&D programs in coordination with the algorithm architect.

Skills

Python
MATLAB
EOIR sensors
Algorithm development
Signal processing

Education

Bachelor's degree in STEM
Master's degree in STEM
PhD in STEM

Tools

MATLAB/Simulink

Job description

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time Description

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.

At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career.

What You'll Get To Do:

In this role, you will work with a diverse team of physicists, signal processing engineers, and AI/ML engineers to develop novel EOIR sensor capabilities and evaluate the performance of these techniques. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models.

A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, and experience leading teams to successful program execution.

Roles and Responsibilities:
  • Develop, integrate, test, and deploy novel EOIR-centric algorithms
  • Build and maintain physics-based sensor models
  • Develop and quantify performance metrics for system performance
  • Understand data quality and artifact impacts
  • Represent system performance in functional and analytical models
  • In coordination with the algorithm architect, lead technical execution of R&D programs

This position is contingent upon the ability to obtain/maintain an active U.S. Government Secret Clearance and the ability to obtain Special Program Access.

Basic Qualifications:
  • Bachelor's degree with 5 years of experience, master's degree with 3 years of experience or Ph.D. with 1 year of experience in Science, Technology, Engineering, Mathematics, or related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
  • U.S Citizenship is required.
  • Ability to obtain/maintain an active U.S. Government Secret Clearance
  • Ability to obtain Special Program Access (SAP)
  • Experience in technical computing languages, e.g. Python or MATLAB
  • Experience with airborne and/or space-based EOIR sensors
  • Experience with the understanding of Physics-based detection methods for various phenomenologies
Preferred Qualifications:
  • Advanced degree in STEM
  • Experience writing technical proposals
  • Developing and executing internal research and development projects
  • Current Top-Secret clearance, SAP access(es), and/or SCI access
  • Strong communication skills, both for internal and external audiences

Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family.

Your benefits will include the following:

Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available

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