AI Software Engineer – Level 3 or 4

Company: Northrop Grumman
Location: Colorado Springs
Posted on: April 1, 2026

Job Description:

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: None 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. 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 can be based at either our Dulles, VA or Colorado Springs, CO 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&D Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature Rapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDA Develop Physics-Based Autonomy to perform Mission Planning & Decision-Making Apply supervised learning, reinforcement learning, and other AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handling Fuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop control Build models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimization Develop 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 RL Lead Verification & Flight Readiness Lead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance via internal standards Participate 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 maintenance In 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 areas Be an active and integral member of your team Channel your enthusiasm to innovate Be part of a supportive team that develops and deploys technologies that matter to our national security Work with agility, flexibility, and collaboration to explore creative ideas This 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 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 a 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 the ability to obtain and maintain a U.S. Government DoD Top-Secret (TS) security clearance and Sensitive Compartmented Information (SCI) approval/access [ TS/SCI ] 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 degree Master’s degree with a minimum of 3 years of relevant AI engineering experience PhD with a minimum of 1 year of relevant AI engineering experience Level 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 degree Master’s degree with a minimum of 6 years of relevant AI engineering experience PhD with a minimum of 4 years of relevant AI engineering experience Industry knowledge and/or foundational education of AI, with a focus on ML, RL, or SL model development Experience with machine learning usage in a product line environment Experience with hands-on coding of learning algorithms from primary literature—comfortable translating equations to optimized code Experience with physics-based AI application (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry Experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics Experience/proficiency in software engineering best practices and standards Experience in simulation development for space vehicle applications Experience in Embedded Software, Space Flight Software, or Simulation Software Experience with Python, CUDA, C/C++ programming Preferred Qualifications: Current/Active TS/SCI MS or PhD in Computer Science or Reinforcement Learning, or STEM degree field with strong physics-based numerical modeling and AI/ML experience Diverse programming proficiency: C/C++, Python, MATLAB/Simulink, Windows/Linux scripting Demonstrated 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 experience Experience in successfully developing and integrating software and hardware solutions for space applications Experience in system and subsystem specification development including verification methodologies Experience implementing action plans based on metrics and/or root cause/corrective actions Hands-on technical experience with spacecraft or satellite related systems Proven experience working with technically diverse teams across multiple locations Experience with Space Flight Software, Simulation Software If this job description reads like it was written specifically for you, consider joining our team! Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: https://www.northropgrumman.com/space Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards LI-VP1 Primary Level Salary Range: $125,300.00 - $206,800.00 Secondary Level Salary Range: $156,400.00 - $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 or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Keywords: Northrop Grumman, Pueblo , AI Software Engineer – Level 3 or 4, Engineering , Colorado Springs, Colorado