Job Title

About Precision AI Precision AI is on a mission to transform agriculture with cuttingedge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. Were a fastmoving, impactdriven team looking for people who want to help build the future of farming. Role Overview The ideal Controls Engineer at Precision AI is someone who can model, simulate, and tune dynamic systemsand then validate them in the real world. Youll work in a multidisciplinary environment alongside embedded, mechanical, GNC (Guidance, Navigation, and Control), and software engineers, developing control strategies that directly impact vehicle stability, traction control, and spray performance from concept through field testing on tractors and ground sprayer rigs. If youre excited to dive deep into system dynamics without egoand you enjoy turning theory into working, stable behavior on a real platformthis role will feel like home. You bring strong fundamentals in control theory, comfort with modeling and stability analysis, and the grit to iterate through tests until the system converges. Youll spend your days building models, designing PID control loops, running simulations, and analyzing stability (including frequencydomain methods like Bode plots) to improve platform behavior. Some days youll be tuning in simulation; other days youll be in the field, adjusting parameters and validating performance under agricultural shock and vibration. At Precision AI, we move fast and build things that matter. If you want to own one of the highestleverage technical risks on the program and help deliver reliable autonomy in real farm conditions, wed love to meet you. This role is onsite in Calgary due to the handson nature of testing, integration, and tractormounted sprayer verification and validation. Key Responsibilities Control System Design & Tuning Design and tune PID control loops for stability, responsiveness, and robustness across terrain and load conditions. Define control objectives and performance metrics tied to safety and spray accuracy. Develop control logic that accounts for realworld disturbances, saturation, delays, and sensor noise. Support integration of control algorithms into embedded implementations in partnership with firmware teams. Develop feedback control for liquid flow rate, turret position, and steering accuracy under real agricultural conditions. Modeling, Vehicle Dynamics & Stability Analysis Build dynamic models of the platform and subsystems (actuators, sensors, vehicle and sprayer subsystem responses (drive system, steering actuators, fluid pumps) to inform control design. Perform stability analysis using frequencydomain techniques (e.g., Bode plots) and converge on stable operating regions. Develop and validate sensor/estimation assumptions (rate limits, latency, noise characteristics, update timing). Use MATLAB or another scripting language to prototype and evaluate control loops and tuning approaches. Document modeling assumptions, control architectures, and tuning rationale for repeatable engineering decisions. Simulation, Testing & Iteration Build and run simulations (including dynamic simulation) to validate control strategies before field deployment. Design test plans for tuning and validation, including step responses, frequency sweeps, and disturbance testing. Support field testing and iterative tuning under agricultural environments (shock, vibration, wind, dust). Analyze test data to identify instabilities, coupling effects, and performance bottlenecks; implement improvements quickly. CrossFunctional Collaboration Work closely with Embedded Engineers to ensure realtime constraints, sensor timing, and implementation details match control intent. Collaborate with Mechanical and Electrical Engineers to align actuator/sensor selections and physical constraints with stability needs. Relevant Experience (Ideal Candidate Background) 36 years of controls engineering experience with demonstrated ownership of modeling and tuning work. Strong foundation in system dynamics, control theory, and stability analysis (time and frequency domain). Experience with MATLAB (or equivalent) for control prototyping, simulation, and analysis. Experience modeling dynamic systems and translating models into practical control implementations (i.e., System ID or similar hardware characterization techniques). Experience with hydraulics or fluid flow control in agricultural spraying systems. Background in agtech, automotive, aerospace, robotics, or other vibration/shockheavy platforms. What You Bring Excitement to dive deep: youre curious, rigorous, and motivated to converge on stable realworld behavior. Lowego collaboration style: you partner well across disciplines and focus on outcomes over credit. Ability to translate math and theory into practical engineering decisions and repeatable tuning processes. Strong communication skills for crossfunctional collaboration. Willingness to travel 510% for field deployments and integration tests. Bonus Experience tuning controls on real vehicles (UAVs, automotive, aerospace, agricultural equipment). Experience with state estimation / sensor fusion concepts (even if not your primary ownership). Experience with realtime implementation constraints and embedded integration workflows. Comfort analyzing large test datasets and building repeatable analysis scripts. Experience working on safetycritical or highreliability systems. Competition or Open Source Team Experience. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law. #J-18808-Ljbffr