Camera Software Systems Engineer – Machine Learning
Qualcomm Technologies, Inc.
CDMA Technology at http://www.qualcomm.com/about/businesses/qct
Engineering – Systems
California – San Diego
The Qualcomm Camera Team is seeking a passionate software systems engineer with focus in machine learning technologies to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities.
Responsibilities for the position include the following:
Build software that runs cutting-edge machine learning algorithms for pictures and camera processing on embedded platforms
Adapt and optimize codes for run-time, memory footprint, data traffic, power
Propose system and algorithmic design changes to improve machine learning inference speed
Prototype ideas for proof of concept and demonstration purposes
Create tools to manage and process data, run calibration, and enable deployment of solutions at scale
Commercialize machine learning solutions, including software management and troubleshooting on target platforms
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Candidate must have:
3+ years of embedded software experience in cameras and imaging
Machine learning project experience
Camera and ISP software stack development
Optimization of algorithms on and across CPU, GPU, DSP
Digital image processing
C, C++, Python
Required: Bachelor’s, Computer Science and/or Electrical Engineering
Preferred: Master’s, Computer Science and/or Electrical Engineering
EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.
Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.