Senior Principal Software Engineer

AI Software Engineer – Level 3 Or 4At 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.This position is contingent upon contract award and the candidate verifying and/or obtaining final clearances and program access(es) within a reasonable period of time as determined by the company.Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As an AI Software Engineer – Level 3 or 4 supporting our Space team, this role will be based at our Dulles, VA, Colorado Springs, CO, or El Segundo, CA locations. On our team, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one.We are looking for early to mid-career AI researchers and engineers with deep knowledge of Computer Science and a deep focus on Reinforcement Learning (RL) to design and implement intelligent autonomy algorithms for our space and aerospace programs.Job Responsibilities In this role you will:Perform Novel Algorithm R&DDesign and implement state-of-the-art RL / SL algorithms drawn from the latest literatureRapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDADevelop Physics-Based Autonomy to perform Mission Planning & Decision-MakingApply supervised learning, reinforcement learning, and other AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handlingFuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop controlBuild models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimizationDevelop AI solutions for real-time anomaly detection and response to ensuring robust and adaptive spacecraft operations. This includes developing models that detect out-of-family telemetry and select corrective actions via hierarchical or policy-gradient RLLead Verification & Flight ReadinessLead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance via internal standardsParticipate in the full life cycle of software development, including requirements development, modeling and design, application development, unit to CSCI testing, integration, formal system testing, release, installation, and maintenanceIn this role, you will be developing systems for a variety of spacecraft using current technologies and others yet to come! We are seeking team members who have a thirst for knowledge, approach each day with optimism, and have a relentless drive to solve complex problems. Creativity and innovation are imperative for this role, because at Northrop Grumman, many of the problems we work on are impossible… until they're not.To be successful in this role you should have:Strong interest in space, national security, and related mission areasBe an active and integral member of your teamChannel your enthusiasm to innovateBe part of a supportive team that develops and deploys technologies that matter to our national securityWork with agility, flexibility, and collaboration to explore creative ideasThis position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off.This position is contingent upon contract award and the candidate verifying and/or obtaining final clearances and program access(es) within a reasonable period of time as determined by the company.This requisition may be filled at either level 3 (Principal), or a level 4 (Sr Principal), depending on the candidate's experience as laid out in the basic qualifications detailed below as well as the interview assessment.Basic Qualifications: (must have to be considered)Must have and maintain a U.S. Government DoD Top-Secret (TS) security clearance at the time of application and the ability to obtain Sensitive Compartmented Information (SCI)/Special Access Program (SAP) approval/access within a reasonable period of time. US citizenship is required.Level 3: (Principal level) Bachelor's degree with a minimum of 5 years of relevant AI engineering experience May consider an additional 4+ years of experience in lieu of a completed degreeMaster's degree with a minimum of 3 years of relevant AI engineering experiencePhD with a minimum of 1 year of relevant AI engineering experienceLevel 4: (Sr Principal level) Bachelor's degree with a minimum of 8 years of relevant AI engineering experience May consider an additional 4+ years of experience in lieu of a completed degreeMaster's degree with a minimum of 6 years of relevant AI engineering experiencePhD with a minimum of 4 years of relevant AI engineering experienceIndustry knowledge and/or foundational education of AI, with a focus on ML, RL, or SL model developmentExperience with machine learning usage in a product line environmentExperience with hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized codeExperience with physics-based AI application (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industryExperience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamicsExperience/proficiency in software engineering best practices and standardsExperience in simulation development for space vehicle applicationsExperience in Embedded Software, Space Flight Software, or Simulation SoftwareExperience with Python, CUDA, C/C++ programmingPreferred Qualifications:Current/Active TS/SCIMS or PhD in Computer Science or Reinforcement Learning, or STEM degree field with strong physics-based numerical modeling and AI/ML experienceDiverse programming proficiency: C/C++, Python, MATLAB/Simulink, Windows/Linux scriptingDemonstrated systems engineering excellence in requirements analysis, modeling and simulation, verification and validation at subsystem and system level or Demonstrated vehicle development, mission systems integration, ground and flight test validation experienceExperience in successfully developing and integrating software and hardware solutions for space applicationsExperience in system and subsystem specification development including verification methodologiesExperience implementing action plans based on metrics and/or root cause/corrective actionsHands-on technical experience with spacecraft or satellite related systemsProven experience working with technically diverse teams across multiple locationsExperience with Space Flight Software, Simulation SoftwarePrimary Level Salary Range: $137,800.00 - $206,800.00 Secondary Level Salary Range: $172,100.00 - $258,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President