Software Engineer, Sensors, Platforms and Devices

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

Minimum 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 (e.g., SQL, Python, or R).

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field.
• Experience in distributed Machine Learning and Machine Learning infrastructure, distributed systems and with Machine Learning algorithms at scale.
• Proficient in C/C++ with experience in developing and implementing firmware and DSP algorithms on SOCs.

About the job:

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Develop signal processing algorithms or firmware for health sensors.
• Enhance signal processing and ML algorithms in order to filter noise and ensure accurate, efficient processing of data.
• Collaborate with hardware engineering to ensure that firmware and algorithms are seamlessly integrated with the hardware architecture.
• Design, develop, implement, and test software components that allow real-time signal processing and filtering, noise reduction, as well as data processing.