Job Summary:

We are seeking a highly skilled and motivated ML and DSP real-time embedded Engineer to join our firmware team. In this role, you will be responsible for implementing cutting-edge machine learning and digital signal processing algorithms for our next-generation products. You will be a key contributor to the entire product development lifecycle, from concept to deployment, ensuring that our products are intelligent, efficient, and provide a seamless user experience.

Key Responsibilities:

• Implement and deploy machine learning inference models on resource-constrained embedded platforms.
• Implement and optimize real-time DSP algorithms for various sensor data streams (e.g., audio, motion, etc.).
• Collaborate with algorithm and software teams to integrate ML and DSP algorithms into the firmware.
• Profile and optimize code to meet strict performance, power, and memory requirements.
• Develop and maintain firmware in C/C++ for embedded systems.
• Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
• Stay up-to-date with the latest advancements in ML, DSP, and embedded systems.
  
  

Required Qualifications:

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 10+ years of professional experience in embedded firmware development, with a significant focus on ML and DSP implementation.
• Deep expertise in ML inference for embedded systems, including:
• Experience with real-time inference frameworks (e.g., TensorFlow Lite, ONNX Runtime).
• Experience with common NPUs (e.g., ARM Ethos-U55) and their corresponding compilers (e.g., Arm Vela).
• Deep understanding of NN model operator-level semantics.
• Experience in developing and implementing real-time DSP algorithms in close collaboration with algorithm teams.
• Strong programming skills in C/C++ for embedded systems, along with proficiency in Python.
• Extensive experience with embedded hardware and systems:
• Strong familiarity with microcontrollers and embedded processors.
• Hands-on experience with real-time operating systems (RTOS).
• Proven skills in low-power design and optimization techniques.
• Excellent problem-solving and debugging skills.
• Experience with agile development methodologies.
• Excellent communication and teamwork skills.
• A passion for building innovative products.