Reinforcement Learning Engineer Jobs in Rensselaer, NY

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Integrated Power System's unit within Submarine Programs is seeking a highly skilled control system engineer with expertise in designing, implementing, and optimizing control systems for complex dynamic systems that integrate coupled mechanical, electric, fluid dynamic disciplines. This role requires strong foundations in control theory, modeling and simulation, and real-time implementation. The engineer will collaborate with multidisciplinary teams to design control strategies, validate performance, and support integration into hardware or embedded environments. The position requires a balance of theoretical knowledge, practical hands on skills, and the ability to collaborate with engineers from diverse technical backgrounds. The work location for this position is full time at the Knolls site. Key Responsibilities Develop advanced feedback and feedforward control solutions using adaptive, nonlinear, robust, and optimal control methods for coupled mechanical, electric, fluid dynamic systems. Build and validate dynamic system models; performing system identification when required. Lead the system integration of components such as actuators, sensors, and real time processing for distributed control platforms. Conduct stability, performance, and robustness analyses using modern control techniques. Implement real?time control algorithms on embedded platforms, microcontrollers or DSPs. Perform simulation, verification, and validation using MATLAB/Simulink or equivalent tools. Support hardware?in?the?loop testing, data acquisition, and tuning of controllers. Collaborate with electrical, mechanical, software, and systems engineering teams. Troubleshoot system behavior and optimize control performance during integration and testing. Document models, design decisions, test results, and control strategies clearly and accurately. Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 6 years of relevant experience; or Masters degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 4 years of relevant experience; or Doctorate degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 1 year of relevant experience. Preferred Skills Academic background featuring a concentration, track, or elective sequence in control systems. Relevant experience with advanced control methods such as adaptive control (e.g., Filtered X LMS), optimal control (LQR, MPC), robust control, or nonlinear control. Relevant experience with system modeling and simulation tools such as MATLAB/Simulink, Simscape, or similar platforms. Relevant experience with real?time control implementation on embedded systems using MATLAB/Simulink environments. Experience with HIL systems, digital twins, or real?time simulation platforms. Familiarity with optimization techniques and advanced estimation methods. Background in robotics, electromechanical systems, power systems, propulsion, or automation. Knowledge of machine learning or reinforcement learning applied to control systems. Experience with data acquisition, sensor/actuator interfacing, and lab testing environments Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $94,800.00 - $148,200.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.