Real-Time DSP & Embedded ML Engineer for Health Sensors

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking software engineers for health sensor signal processing and firmware development. You will work on DSP algorithms, ML enhancements, and hardware-software integration to deliver real-time data processing capabilities.

The role emphasizes collaboration with hardware teams and optimization of DSP on SOCs, with a focus on scalable data analysis and ML systems in health tech.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python.
• 2 years of experience working with embedded operating systems.
• Experience in digital signal processing (DSP) algorithm development, implementation, and optimization.
• Experience in analyzing large-scale datasets using database queries and scripting languages (SQL, Python, or R).

Responsibilities

• Develop signal processing algorithms or firmware for health sensors.
• Enhance signal processing and ML algorithms to filter noise and ensure accurate data processing.
• Collaborate with hardware engineers to integrate firmware and algorithms with hardware architecture.
• Design, develop, implement, and test software components for real-time signal processing and data processing.

Skills

Python

DSP development

SQL

Data analysis

Education

Bachelor’s degree or equivalent practical experience

Master's/ PhD in Electrical/Computer Engineering

Tools

C/C++

Firmware development

DSP on SOCs

Job description

Google is seeking software engineers for health sensor signal processing and firmware development. You will work on DSP algorithms, ML enhancements, and hardware-software integration to deliver real-time data processing capabilities.

The role emphasizes collaboration with hardware teams and optimization of DSP on SOCs, with a focus on scalable data analysis and ML systems in health tech.