Senior Model-Based Control Software Engineer - Ninja

About the role

SharkNinja 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 and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. Senior Model-Based Control Software Engineer - Ninja SharkNinja is seeking a Senior Model-Based Control Software Engineer to join the Ninja Controls team. We're looking for a technically strong, hands-on engineer with a deep understanding of control systems and model-based design, a passion for product innovation, and a track record of taking complex control problems from concept through mass production. You will develop real-time control algorithms for low-compute, cost-constrained hardware that drives the next generation of smart household appliances. You will own the system models that serve as the single source of truth - from plant dynamics through embedded deployment, and provide technical leadership across multiple product lines. You will collaborate closely with R&D, Product Development, and Advanced Engineering to integrate electronics, software, and mechanical systems into shippable products, iterating continuously throughout the lifecycle.

Responsibilities

• Plant modeling & simulation : Build and maintain physics-based plant models in MATLAB/Simulink (or equivalent MBD toolchain) that capture the dynamic behavior of electromechanical systems and serve as the executable spec for requirements, design, and validation.
• Control design & deployment : Apply classical control theory and physics-first reasoning to design, simulate, and field-tune controllers for consumer appliances under tight power, compute, and BOM constraints. Take controllers from bench to product.
• Sensors & sensor firmware : Select, characterize, and work with low-cost sensors. Develop the sensor processing and firmware needed to make them reliable in production.
• Embedded deployment : Generate production-quality embedded code from models (Simulink Embedded Coder, or AI-assisted code generation with appropriate guardrails). Own the production-readiness of generated code - memory, timing, robustness, and testability.
• AI / ML & optimization : Apply machine learning and optimization techniques where they earn their place. A working understanding of modern AI tooling and how it fits into a controls workflow is expected.
• Technical leadership : Own the control strategy across product lines, mentor junior engineers, and partner with embedded software to keep model and code in sync.
• Required Qualifications
• M.S. or Ph.D. in Electrical, Mechanical, Mechatronics, Computer Engineering, or a related field.
• 5+ years developing and deploying control systems on real products - concept through mass production.
• Strong grounding in classical control theory and physics-based system modeling.
• Hands-on experience with MATLAB/Simulink (or comparable MBD environment) for plant modeling, controller design, and closed-loop simulation.
• Proven track record deploying embedded controllers to cost- and compute-constrained hardware - consumer appliances or similarly resource-tight field deployments strongly preferred.
• Practical experience with low-cost sensors and the firmware required to make them production-grade.
• Working proficiency in C/C++ and one of Python or MATLAB.
• Familiarity with auto-code generation (Embedded Coder or equivalent) and/or AI-assisted code generation, with a clear understanding of what production-ready code requires.

Requirements

• Experience with advanced control techniques (MPC, adaptive, robust, or learning-based control) deployed on embedded systems.
• Background in motor control, thermal systems, or fluid dynamics.
• Experience mentoring engineers and owning control architecture across multiple products.
• Attributes
• Strong theoretical understanding of control systems fundamentals and the ability to apply it to deliver robust, elegant, and innovative solutions to real-world challenges.
• Strong intuition for system dynamics and the ability to translate physical behavior into mathematical models.
• Solid analytical skills, attention to detail, and a relentless drive to identify potential proble

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