United States-Colorado-Colorado Springs, United States
$121-227k
Full Time
41 minutes ago
Job description
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.Please be advised this position is contingent on contract award.
Northrop Grumman Space Systems – Launch and Missile Defense Systems (LMDS) has an exciting career opportunity for a Principal/Sr. Principal AI Software Engineer to join our team of qualified, diverse individuals. This position will be located in Colorado Springs, CO.
Position Overview:
The selected qualified applicant will support a growing portfolio of programs and IRADs that focus on missile defense and hypersonic technologies and will be a core contributor toward advancing the artificial intelligence and machine learning products for critical national security missions.
Some domestic travel (up to 10%) may be required, dependent on program needs. This position will be the primary developer of innovative AI/ML products supporting a variety of critical missions.
Seeking candidates who find satisfaction in working on challenging and diverse assignments in collaborative settings across all levels.
This requisition may be filled at a higher grade based on qualifications listed below.
This requisition may be filled at either a Principal AI Software Engineer or a Sr. Principal AI Software Engineer level.
Basic Qualifications (Principal AI Software Engineer)
- Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience or a Master’s degree in a STEM discipline and 3 years of related experience, or 1 year with a PhD.
- Ability and willingness to travel up-to 10% to support business needs
- Applicants must have a active in-scope U.S. Government DoD issued Secret security clearance at the time of application which is required to start.
- Experience leveraging AI/ML technologies to increase efficiency of legacy processes
- Experience with neural networks, reinforcement learning, and image classification
- Experience with common software engineering languages, such as C, C++, Java, Python, and other object-oriented languages
- Experience with DevSecOps tools
- Familiarity with single and distributed GPU training for Deep Learning/Reinforcement Learning architectures
- Experience with python libraries, such as NumPy, SciPy, TensorFlow, and Pandas
- Ability to self-start and work autonomously and collaboratively in a team setting
- Demonstrated ability to learn new domains (i.e. kinematics/signatures/orbital mechanics/etc)
- Excellent written and verbal communication skills
- Demonstrated ability to adapt industry research papers for use within defense and national security products
Basic Qualifications (Sr. Principal AI Software Engineer)
- Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 8 years of related experience, or a Master’s degree in a STEM discipline and 6 years of experience, or 4 years with a PhD.
- Ability and willingness to travel up-to 10% to support business needs
- Applicants must have a active in-scope U.S. Government DoD issued Secret security clearance at the time of application which is required to start.
- Experience leveraging AI/ML technologies to increase efficiency of legacy processes
- Experience with neural networks, reinforcement learning, and image classification
- Experience with common software engineering languages, such as C, C++, Java, Python, and other object-oriented languages
- Experience with DevSecOps tools
- Familiarity with single and distributed GPU training for Deep Learning/Reinforcement Learning architectures
- Experience with python libraries, such as NumPy, SciPy, TensorFlow, and Pandas
- Ability to self-start and work autonomously and collaboratively in a team setting
- Demonstrated ability to learn new domains (i.e. kinematics/signatures/orbital mechanics/etc)
- Excellent written and verbal communication skills
- Demonstrated ability to adapt industry research papers for use within defense and national security products
Preferred Qualifications:
- Active DoD Top Secret Clearance
- Experience with optimization engines, such as Optuna or Pymoo
- Experience with Natural Language Processing
- Experience with MLOps tools (MLFlow, Kubeflow, etc.)
- Experience using agile development methodologies
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