Sachin Nadig
Sensor Technologist | Cyber-Physical Systems | Physical AI Enthusiast
- Role
- Sensors & Systems Engineer at Google
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Sachin Nadig
Experienced in shipping wearable technologies.Tech Lead with expertise in end to end - feature to new sensor+asic development, sensor system architecture, algo development * Deep experience in - Navigation technologies- Inertial Sensors (MEMS, system architecture and sensor fusion with Kalman filters)- Optical health sensing technologies * Previously worked on development of autonomous systems compatible, automotive grade, high performance MEMS (Micro Electro Mechanical Systems) BAW (Bulk Acoustic Wave) gyroscopes.* Also worked towards RF front end module development - SAW, BAW technology integration, in the 5G modules Experience- Design, fabrication, characterization, multi- physics simulation and control of MEMS piezoelectric and capacitive sensors and actuators- MEMS and Mixed Signal RF ASIC design evaluation, DVT, DOE, noise measurements, system modeling, performance evaluation and test automation. ISO26262 certified Member of the technical program committee for Inertial Sensors, Transducers and reviewer for JMEMS and Sensors journals Contributed and presented in 4 DARPA programs (PASCAL, RE-NET, AIMS, N-ZERO) focusing on research areas such as high performance inertial sensors, micro PNT (Position, Navigation & Timing), reliable neural interfaces and low power distributed sensors Recipient of 2012 Qualcomm Irwin Jacobs Fellowship at Cornell Demonstrated a laser micro-machining process for bulk PZT that lead to novel monolithic sensors and actuators
Experience
Sensors & Systems Engineer
Jan 2022 — Present
New sensing features, lead end to end sensor+asic (analog/mixed signal) development, system architecture, algorithms, sensor technologies and explorations. Work cross functionally to communicate design and scale for production - Tech lead for sensing in pixel wearable products- Built a team to deliver on cross-functional product execution - Lead sensor development, system architecture - Health Sensing Lead - Optical and electrode based sensor and system development (Sensor+AFE+signal processing)- ML and algo prototyping, exploration to enable new features and further enhance performance- HW/SW co-design, ML model evaluation and sensitivity analysis, tuning, pre-processor & inference optimization- Sensor fusion - Novel IP development - Scalable custom silicon solutions using open source silicon (FOSS methodologies) and Cadence AMS- Foundry explorations, established several vendor relationships and partnerships- NTI (new technology investigation), strategy and roadmap planning - 9 patents and 2 publications
Education
PES Institute of Technology
Bachelor of Engineering (BE), Electrical and Electronics Engineering
2007 — 2011
Cornell University
Doctor of Philosophy - PhD, Electrical and Computer Engineering
2012 — 2017
Cornell University
Master’s Degree, Electrical and Computer Engineering
2015
Skills
- Cadence
- Matlab
- Fpga
- Microsoft Office
- Mechatronics
- Verilog
- Mems
- Sensors
- Signal Processing
- Embedded Systems
- Microcontrollers
- C
- Actuators
- Device Characterization
- Simulations
- Comsol
- Labview
- Engineering
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