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Embedded Tinyml Jobs (NOW HIRING)

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Embedded Tinyml information

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$70K

$153.4K

$174K

How much do embedded tinyml jobs pay per year?

As of Jun 4, 2026, the average yearly pay for embedded tinyml in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded TinyML Engineer, and why are they important?

To thrive as an Embedded TinyML Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with microcontroller platforms (such as ARM Cortex-M), TinyML frameworks (like TensorFlow Lite for Microcontrollers), and hardware debugging tools is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly set standout professionals apart in this field. These skills are crucial for efficiently developing, deploying, and maintaining machine learning models on resource-constrained devices, ensuring reliable and innovative edge AI solutions.

What are some common challenges faced when deploying TinyML models on embedded devices?

Deploying TinyML models on embedded devices often involves managing strict resource constraints, such as limited memory, processing power, and energy consumption. Developers must carefully optimize model size and inference speed while ensuring accuracy remains acceptable for the application. Additionally, integrating models within existing embedded system workflows and testing for reliability under various real-world conditions can be challenging. Collaborating with hardware engineers and firmware developers is crucial to achieve efficient deployment and seamless operation.

What are Embedded TinyML engineers?

Embedded TinyML engineers specialize in developing and deploying machine learning models that run directly on small, resource-constrained embedded devices, such as microcontrollers and IoT sensors. Their work involves optimizing neural networks to ensure efficient performance with limited memory, power, and computational capacity. These engineers bridge the gap between embedded systems and AI, enabling smart features in everyday devices without the need for cloud connectivity.
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What cities are hiring for Embedded Tinyml jobs? Cities with the most Embedded Tinyml job openings:
What states have the most Embedded Tinyml jobs? States with the most job openings for Embedded Tinyml jobs include:
Fall 2026: Control Systems & Algorithm Engineering Co-op (July to December)

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

SharkNinja

Needham, MA • On-site

Other

Posted 29 days ago


Job description

Work Period: July 2026 to December 2026

Location & Schedule: 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.

Join the SharkNinja Early Edge Experience: 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 SharkNinja leaders because this is a program for those ready to shape what's next - fast.

This role: 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. This co-op opportunity will provide valuable experience in the field of control systems engineering and mechatronics with a focus on programming skills, optimization, and algorithms development. If you are passionate and want to work on challenging projects, we encourage you to apply. 

Here are some of the EXCITING things you'll get to do:

  • 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

ATTRIBUTES & SKILLS:

  • 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

Preferred/ Bonus Qualifications

  • 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

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience!