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
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

Requirements

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
Bachelor’s degree with a minimum of 5 years of relevant AI engineering experience
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
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 in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics
Experience in simulation development for space vehicle applications
Proficiency in Python, CUDA, C/C++ programming

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJAXPyTorchC++CUDAreinforcement learningsupervised learningAI/ML techniquesneural searchdifferentiable optimization

Soft Skills

leadershipcommunicationproblem-solvingcollaborationadaptability

Certifications

U.S. Government DoD Top-Secret (TS) security clearanceSensitive Compartmented Information (SCI) approval/access