Control Systems & Algorithm Engineering Co-op, SharkNinja

• If you are passionate and want to work on challenging projects, we encourage you to apply
• Education: Current student in their third year or beyond of a bachelor's program, or currently enrolled in a master’s or doctorate program
• Must be able to work a full-time, 40-hour-per-week schedule with 5 days per week onsite in Needham, MA
• Strong understanding of control system theory (frequency response, stability margins, PID design and tuning) and design, including classical control and advanced control
• Proficiency in embedded C/C++ programming and experience with microcontrollers (e.g., STM32, ESP32, Arduino, or similar)
• Familiarity with real-time signal processing and sensor fusion techniques
• Comfort working hands-on with hardware systems (sensors, actuators, thermal and electromechanical components)
• Strong problem-solving ability and willingness to prototype quickly and iterate
• A natural and effective communicator capable of reducing abstract concepts to reality
• Able to quickly generate visual and physical definitions of new products that convey key attributes of function
• Be naturally curious and relentlessly driven to find better solutions to everyday problems

Desirable

• We are seeking a highly motivated Control Systems & Algorithms Co-op to join our team
• We focus on developing real-time optimization and control algorithms for low-compute hardware that drive the next generation of smart household appliances
• This role offers a hands-on opportunity to design, prototype, and validate control solutions that make appliances smarter, more efficient, and more reliable
• This co-op opportunity will provide valuable experience in the field of control systems engineering and mechatronics with a focus on programming skills, optimization, and algorithms development
• Design and implement real-time control algorithms for appliance subsystems (thermal, fluidic, and electromechanical)
• Work directly with pumps, heaters, boilers, AC/DC, and stepper motors, and their drivers
• Interface with low-cost sensors (temperature, flow, pressure, torque, etc.) and implement signal processing, filtering, and estimation techniques (e.g., Kalman filters, etc.)
• Apply classical control methods (frequency response analysis, PID design, and tuning) to achieve stability and robustness in systems with significant delays and nonlinearities
• Rapidly build and iterate prototypes and test rigs to validate algorithms in real hardware environments
• Collect and analyze experimental data to identify system dynamics and optimize performance
• Collaborate with cross-functional teams to develop system design, software architecture, and bring control algorithms from concept to embedded deployment