Signal Processing Specialist

2 days ago

Bengaluru, Karnataka, India beBeeSignalProcessing Full time ₹ 15,00,000 - ₹ 25,00,000
Signal Processing Professional

Architect and develop cutting-edge sensing solutions for consumer products.

Key Responsibilities:
  • System Development and Architecture: Define concepts and architect hardware-software-integrated solutions for MEMS-based sensing applications.
  • Algorithm Design and Implementation: Focus on signal processing, machine learning, algorithm design, and statistical methods to solve complex engineering challenges.
  • Coding, Documentation, Unit Testing
  • Technical Leadership: Provide guidance and mentorship to a team of skilled engineers, ensuring excellence in development processes.
  • Collaboration: Work across multidisciplinary teams to deliver seamless and effective solutions.
Core Skills and Qualifications:
  • Technical Expertise:
    • Strong background in signal processing and algorithm development.
    • Proficient in statistical signal processing concepts, including estimators, probabilities, and statistical models.
    • Experience with estimation filters, such as Kalman filters and adaptive filters, for system state estimation and noise reduction.
    • Ability to optimize and implement algorithms for real-time processing on resource-constrained microcontrollers.
    • Advanced mathematical, analytical, and problem-solving skills.
    • Experience in data analysis and data visualization, creating insights from large and complex sensor datasets.
    • Solid programming expertise in MATLAB, Embedded C, and Python.
  • Leadership and Organization:
    • Proven ability to lead and manage high-performing technical teams in an Agile working environment.
    • Effective communication skills to bridge gaps across teams and disciplines.
  • Preferred Experience:
    • MEMS & Applications: Familiarity with MEMS sensors and applications, such as accelerometer, magnetometer, gyroscope, or MOX gas sensors.
    • Machine Learning: Hands-on experience and intermediate to expert-level proficiency in ML, deep learning algorithms, and sensor applications.
  • Education and Experience:
    • Bachelor's or Master's degree in relevant fields such as Electronics, Electrical, Instrumentation, or Telecommunication.
    • 8+ years of industry experience in related fields.

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