EHM_Technical Lead - AI/ML/Signal processing Expert for sensor solutions_8+

• System Design and Development:

• Define concepts and architect hardware-software-integrated solutions for MEMS-based sensing applications.

• Algorithm Development:

• 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.

• Technical direction
• Systematic technical decision-making
• Architecture, design approaches I
• Customer communication - technical expertise, subject expert
• Breakdown of customer requirements to technical requirements in task, user story level
• First point of contact to the PO regarding technical topics

• Innovation :

• Research and develop innovative solutions tailored to real-world challenges in consumer products such as wearables, mobile phones, drones, laptop and IoT devices etc.

• Collaboration:

• Work across multidisciplinary teams to deliver seamless and effective solutions.

• Strong in signal processing and algorithm development.
• Proficient in statistical signal processing concepts, including estimators, probabilities, and statistical models.
• Proficiency in estimation filters, such as Kalman filters and adaptive filters, for system state estimation and noise reduction.
• Extensive experience in optimizing and implementing algorithms for real-time processing on resource-constrained microcontrollers.
• Advanced mathematical, analytical, and problem-solving
• Experience in data analysis and data visualization, creating insights from large and complex sensor datasets.
• Solid programming expertise in MATLAB, Embedded C, and Python.
• Knowledge of filter design and implementation or related algorithm development is a strong plus.

• 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.

• 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.
• Proficient in implementing fixed-point arithmetic for efficient computation on embedded platforms.

• Bachelor's or Master's degree in relevant fields such as Electronics, Electrical, Instrumentation, or Telecommunication.

• 8+ years of industry experience in related fields.

• Bachelor's or Master's degree in relevant fields such as Electronics, Electrical, Instrumentation, or Telecommunication.

Bosch