About Micro1: Job DescriptionRole Title: Military Operations & Reporting SMERole Type: ContractorLocation: Remotemicro1 is engaging Military Operations & Reporting SMEs to collaborate on a customer's project, leveraging deep subject matter expertise in military operations, staff processes, and recurring reporting. In this role, you'll apply your real-world DoD experience to help train next-generation AI systems. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkReview and evaluate military and DoD reporting content for accuracy, clarity, and alignment with real-world procedures.Apply firsthand experience gathering information from multiple teams or staff sections and turning it into reports and executive updates for senior leadership.Provide high-quality written feedback on AI-generated reporting materials.Assess AI outputs for appropriate military terminology, reporting standards, and information synthesis.Develop and refine realistic reporting examples and scenarios for AI training.Preferred Qualifications3+ years of experience within the U.S. Department of Defense as a uniformed service member, DoD civilian, or both.Experience personally preparing recurring reports or executive updates for senior military or DoD leadership.Experience with reports such as Weekly Activity Reports (WARs), Project/Program Status Reports, Performance/Accomplishment Reports, After-Action Reports (AARs), or Budget Execution Reports.Background in military operations, plans, headquarters/command staff, program management, executive support, or resource management.Strong written communication skills and experience synthesizing inputs from multiple teams into clear, concise reporting.Experience as an Operations Officer/NCO, Plans Officer, Action Officer, Staff Officer, Executive Officer, or similar headquarters role is a plus.
Dod reporting standards
Report writing
Information synthesis
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About Micro1: Job DescriptionRole Title: Control System EngineerRole Type: ContractorLocation: Remotemicro1 is engaging Control System Engineers to contribute their advanced technical expertise to an exciting customer project focused on real-world control solutions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about shipping robust controllers, modeling complex plants, and applying both classical and modern control strategies in tangible environments.Scope of WorkDesign and tune PID and advanced controllers (e.g., LQR, MPC, Kalman Filters) for deployment on physical systems such as robotics, drones, automotive, or industrial hardware.Develop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies.Implement and verify control algorithms in Python using open source toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica).Document engineering decisions and control strategies with clear, high-quality written communication, and engage in effective verbal discussions as required.Analyze system performance, identify areas for improvement, and iterate on design for optimal real-world operation.Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence.Preferred QualificationsBachelor’s degree (or higher) in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering.Over 5 years of hands-on controller design experience post-degree, with proven real system deployment (not simulation-only).Proficiency in building and validating physical plant models using first principles and data-driven methods.Demonstrated delivery of both classical (PID) and at least one modern control method (LQR, MPC, or Kalman) on real hardware.Fluency in Python for control code development, debugging, and validation using open source stacks.Exceptional written and verbal English communication skills, focused on clarity and precision.Additional strengths such as a Master’s or PhD, production MPC with tools like do-mpc or CasADi, Modelica/OpenModelica modeling, Julia proficiency, system identification, embedded C/C++, ROS, nonlinear/robust/adaptive control, or contributions to publications/open source are valued.
Pid
Controller design
Plant modelling
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