Northrop Grumman-posted 3 months ago
$188,200 - $282,200/Yr

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, located in Fairfax, VA, is seeking an experienced Computational Scientist with expertise in AI/ML modeling. This role involves collaborating with a multi-disciplinary team on cutting-edge projects in free space optical communications (FSOC). The ideal candidate will have a strong background in computational science, machine learning, and applied mathematics, with experience in data analysis, high performance computing, and GPU-based model development and optimization. The candidate will collaborate with scientists and engineers to understand atmospheric effects on FSOC missions and develop computational solutions to mitigate their impacts. In this role, the candidate will lead a small team to develop, implement, and optimize solutions using the latest AI/ML or other computational techniques, and educate team members on the latest AI advancements. Key attributes include creativity, curiosity, and critical thinking. The candidate should expect to work in-office in Fairfax, VA, alongside a team of atmospheric scientists and systems and software/hardware engineers whose experience ranges from junior to senior levels. Additionally, the candidate will provide advisory support to the Program Manager on meeting customer mission requirements.

  • Design, develop, document, and test algorithms and applications that meet mission requirements
  • Develop, implement, and optimize computational solutions, including AI/ML models, to support the mitigation of atmospheric impacts on FSOC
  • Design and build data pipelines and analysis workflows for large datasets; deploy predictive models in production to support mission operations
  • Collaborate with atmospheric scientists, systems and hardware engineers in planning, design, and development of atmospheric mitigation technologies
  • Meet with customers to understand requirements for mission success
  • Design and develop optimized computing algorithms and applications required to meet customers mission requirements
  • Provide mentorship and guidance to other team members
  • Work with junior engineers and atmospheric scientists to implement and validate algorithms
  • Stay up-to-date with cutting-edge advancements in AI/ML
  • Ability to obtain and maintain a Top Secret (TS/SCI) clearance with Polygraph
  • US Citizenship is a requirement
  • A PhD in a physical or computational science with 7 or more years of experience
  • Experience applying AI/ML techniques to solve real-world problems
  • Demonstrated use of High Performance Computing (HPC) Systems
  • Demonstrated use of accelerated computing, numerical analysis, applied mathematics
  • Demonstrated proficiency with Python, C++, CUDA
  • Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)
  • Demonstrated proficiency using libraries and toolkits including: TensorFlow, PyTorch
  • Experience with Git and version control
  • Experience communicating technical insights through development of briefings and/or papers
  • Experience with C, C++, Fortran software languages
  • Experience with atmospheric science and modeling
  • Experience with time series modeling, or probabilistic modeling including the use and application of deep neural networks
  • Proven experience designing and building data pipelines and analysis workflows for large datasets
  • Proven experience deploying predictive models in production to support mission operations
  • Experience interfacing and presenting to executive audiences
  • Health insurance coverage
  • Life and disability insurance
  • Savings plan
  • Company paid holidays
  • Paid time off (PTO) for vacation and/or personal business
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