Fall 2026: Control Systems & Algorithm Engineering Co-op (July to December)

• 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
• Embodies SharkNinja's success drivers:
  • Rarely Satisfied – Adopt a “no delays” mentality in delivering against market needs/timing
  • Progress over Perfection - Make quick, daily progress and continuously adapts to achieve results rather than requiring perfect planning
  • Details Make the Difference - Can coordinate timelines & deliverables to ensure accuracy and consistency across all consumer-facing materials
  • Winning is a Team Sport - Ability to develop strong cross-functional relationships
  • Communicate for Impact - Strong communication skills - ability to deliver effective presentations to all levels of management

• Experience with MATLAB/Simulink for system modeling, state-space control, and model-based design (including Simulink Coder/code generation)
• Background in system identification, including real-time or machine-learning-based modeling
• Knowledge of nonlinear optimization algorithms suitable for low-compute, embedded environments
• Familiarity with TinyML, CMSIS libraries, or other embedded ML frameworks
• Experience with embedded system architecture and designing control software frameworks

At SharkNinja, we don’t just raise the bar—we push past it every single day.  Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.

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