Embedded Systems Software Engineer

Systems Software Engineer 

Job Overview

Sensors-based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality, and augmented reality.  This challenging position offers the opportunity to work with leading edge sensor technologies embedded in smartphones, automotive, IOT, smartwatches as well as other consumer electronics devices.  Job activities span the whole product life cycle from early R&D to commercial deployment.  The successful candidate will work with systems, software, and integration/test engineers in the sensors group

Job responsibilities include:
 

• Embedded software development in C/C++.  Implementing system algorithms, performance testing, code profiling, and optimization
• Embedding neural networks on Hardware accelerators, via our internal or open-source libraries, such as TensorFlowMicro.
• Integrating ML and DSP algorithms in the sensors SW framework and performing offline and online validation and testing
• Understanding system and SOC hardware requirements and translating them into SW models and frameworks.
• Architecting software frameworks and module implementations on a variety of cores like CPU, MCU, and GPU.
• Development of prototype reference platforms that cover mobile devices, watches, hearables, etc.
• Collaborate with global systems, hardware, and software teams.

The position is technology focused and involves participation in a broad range of sensors systems engineering activities within the Sensors Technologies group
All employees are expected to actively support diversity on their teams, and in the Company
Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or related field.
2+ years Software Engineering work experience.

Minimum Qualifications

• Candidate should have a strong knowledge of C / C++ and should be familiar with unit testing and system testing using frameworks like Google Test.
• Understanding of SOC architecture.
• Embedded and or mobile programming experience including optimization of algorithms to support low power and or low memory footprint.  Strong understanding of concepts like threads, memory management, registers, RTOS, etc.
• Programming in one interpreted language (Python, Perl, Ruby).
• Excellent written, verbal, and presentation skills.
• Strong analytical skills and ability to work in a dynamic and fast paced team environment across geographic regions.

Preferred Qualifications

Master’s or PhD in Computer Science, Electrical Engineering, or equivalent.
Skills in some of the following areas.

• The ability to implement MATLAB-coded algorithms in C, including both floating and fixed-point implementations.
• Experience modifying device drivers.
• Familiarity with peripherals like I2C, I3C, and SPI.
• Experience with version control systems (Git, Perforce, etc.).
• Hands-on experience on ML frameworks such as PyTorch and TensorFlow
• Experience implementing basic machine learning algorithms such as SVM’s, neural nets etc. in C.

Bachelors or Master’s in Computer Science, Electrical Engineering, or equivalent.
C, C++, Python, Digital Signal Processing (DSP), MATLAB, Machine Learning, Accelerometer, Gyroscope, Inertial sensors (IMU), Embedded Systems, Medical Sensors, PyTorch.