About the role#
We are looking for a Control Systems & Algorithms Co-op to join our team from January 2027 to June 2027. You will focus on developing real-time optimization and control algorithms for low-compute hardware that drive our next generation of smart household appliances. This role is a hands-on opportunity to design, prototype, and validate control solutions that make appliances more efficient and reliable.
What you'll do#
- Design and implement real-time control algorithms for appliance subsystems, including thermal, fluidic, and electromechanical systems.
- Work directly with pumps, heaters, boilers, AC/DC, stepper motors, and their drivers.
- Interface with low-cost sensors to implement signal processing, filtering, and estimation techniques like Kalman filters.
- Apply classical control methods, such as frequency response analysis, PID design, and tuning, to achieve stability in systems with significant delays and nonlinearities.
- 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 and software architecture, bringing control algorithms from concept to embedded deployment.
What you'll need#
- Currently enrolled in a bachelor’s program (third year or beyond), master’s, or doctorate program in Computer Engineering or Electrical Engineering.
- Strong understanding of control system theory, including frequency response, stability margins, PID design, and classical control.
- Proficiency in embedded C/C++ programming.
- Experience with microcontrollers such as STM32, ESP32, or Arduino.
- Familiarity with real-time signal processing and sensor fusion techniques.
- Comfort working hands-on with hardware systems, including sensors, actuators, and thermal components.
- Preferred: Experience with MATLAB/Simulink for system modeling, state-space control, and model-based design.
- Preferred: Background in system identification or machine-learning-based modeling.
- Preferred: Knowledge of nonlinear optimization algorithms for low-compute environments or familiarity with TinyML and CMSIS libraries.
Location & details#
- This is a full-time, 40-hour-per-week position.
- You must be able to work 5 days per week onsite in Needham, MA.
- The hourly pay range for this position is $30 to $40 USD.
- Benefits include medical insurance, a health savings account with company contribution, sick time, company holidays, employee product discounts, and product testing opportunities.
About SharkNinja
SharkNinja is a product design and technology company based in Needham, Massachusetts. It was founded in 1994 and operates as a public company. The business focuses on consumer goods and product marketing. It employs over 4,000 people to develop household products for cleaning, cooking, and food preparation.
How to get in at SharkNinja
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