Senior Controls Systems Engineer - Ninja

Senior Control Systems Engineer – Ninja

Shark Ninja is seeking a Senior Control Systems Engineer to join our innovative Ninja team. We are looking for a technically strong, hands‑on engineer with a deep understanding of control systems, a passion for product innovation, and a proven track record in leading complex, cross‑functional projects from concept through mass production.

As a senior member of the Ninja Control Systems team, you will focus on developing real‑time optimization and control algorithms for low‑compute hardware that drive the next generation of smart household appliances. You will play a pivotal role in developing smart systems that are the “brain” in our most complex and powerful new products. They work closely alongside the Ninja R&D team, and together, they are responsible for the performance of our products and their operation.

The Senior Control Systems Engineer is involved in the full product lifecycle from early‑stage concept development and prototyping all the way to mass production, continuously iterating and making improvements throughout the process. The senior control system engineer provides technical leadership, mentors junior engineers, and owns the control strategy and system design across multiple product lines. You will collaborate with R&D, Product Development, and Advanced Engineering to ensure seamless integration of electronics, software, and mechanical systems.

• Leadership and strategy:
  Lead the development of advanced control systems across diverse product platforms while mentoring multidisciplinary teams on best practices in architecture, modeling, and implementation.
• Design and development:
  Design, develop, and test control systems tailored for consumer appliances, integrating mechatronics principles to ensure seamless operation of software, mechanical, and electronic systems.
• Advanced control techniques:
  Employ advanced control strategies, including PID, Model Predictive Control (MPC), adaptive control, and robust control, to address complex control challenges in real‑time applications for low‑compute devices.
• Signal processing:
  Apply signal processing algorithms for noise reduction, feature extraction, and system optimization, including expertise in filter design, Fourier transforms, and spectral analysis.
• Machine learning integration:
  Incorporate machine learning methods to improve system adaptability and performance, including familiarity with neural networks, reinforcement learning, and supervised/unsupervised techniques for predictive maintenance and optimization.
• Programming and simulation:
  Utilize programming languages such as Python, MATLAB, C++, and others relevant to control systems engineering; use simulation and modeling of mechatronic systems to validate control strategies and design choices.
• Collaboration and documentation:
  Work closely with cross‑functional teams to develop comprehensive control solutions and maintain thorough documentation, including functional specifications, design specifications, test plans, and procedures.
• Embedded systems:
  Design and implement robust, real‑time control solutions on embedded platforms, ensuring seamless integration of control algorithms with hardware and troubleshooting complex system‑level issues across firmware, hardware, and control layers.

• Strong theoretical understanding of control systems fundamentals and the ability to apply this to deliver robust, elegant, and innovative solutions.
• Solid analytical skills, attention to detail, and relentless drive to identify potential problems and take responsibility for their resolution.
• Intellectual curiosity and creativity, strong logical thinking skills, and a positive can‑do attitude.
• Willingness to roll up sleeves and get your hands dirty testing and troubleshooting issues.
• Ability to clearly, effectively, and concisely communicate with both technical and non‑technical colleagues, verbally and in writing.
• Comfortable multitasking and responding quickly to shifting priorities without losing sight of longer‑term projects and goals.

• M.S. or Ph.D. in Electrical, Mechanical, Mechatronics, or Computer Engineering, or a…