Fall Control Systems & Algorithm Engineering Co-op

About Us

Shark Ninja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market. Headquartered in Needham, Massachusetts with more than 3,600 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

July 2026 to December 2026

This is a full-time, 40‑hour‑per‑week position with 5 days per week onsite in Needham, MA. There is no relocation or housing assistance for this position.

Built for early career talent. Geared toward impact. Driven by speed. Whether you’re in a co‑op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast‑paced professional environment. You’ll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you’ll benefit from professional development opportunities, community events, and connections that make your experience well‑rounded and enriching.

Your time with us will culminate in an opportunity to showcase your contributions and learnings to Shark Ninja leaders because this is a program for those ready to shape what’s next – fast.

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.

• 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

• 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., STM
  32, ESP
  32, 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 Shark Ninja'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…