Engineer, AI Software/Machine Learning C - Qualcomm

Polluxa, Inc.; California (MO); On-site; USD 95,000 - 135,000; Full time

Job summary

Polluxa, Inc. is seeking a software engineer to develop a high-performance C++17 library for Qualcomm Hexagon Processors, focusing on embedded systems and real-time ML workloads.

You will design and optimize code, work with cross-compiler toolchains for Android, embedded Linux and QNX, and address issues across Qualcomm AI products. Join a globally distributed team, improve software quality processes, and contribute to model analysis tools and ML operations on device.

Qualifications

• 3+ years of relevant work experience in C++17 embedded software.
• Experience with modern C++ features and performance tuning.
• Background in mathematical algorithms and vector instructions.

Responsibilities

• Development of modern C++17 software library for Qualcomm Hexagon Processors
• Design and performance tune modern C++17 code for an embedded system
• Development of model analyzing tools for the internal and external customers
• Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX
• Address issues found in existing and past Qualcomm AI products
• Implement and optimize modern C++17 machine learning operations on Hexagon Processors
• Debug customer machine learning use cases executing on Qualcomm AI Stack
• Communication across globally diverse team
• Participate in software quality process improvements

Skills

C++17

Multithreading

Embedded systems

Software performance optimization

Linux

Git

Docker

TensorFlow/PyTorch/ONNX

Cross-compiler toolchains

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Hexagon DSP SDK

Android cross compiler toolchains

embedded Linux

QNX

Job description

Company:

Job Area:

General Summary:

NOTE:

Our team does not work in data science, build models or train models AI's ability to solve complex problems across multiple domains is transformative. In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to run their deep neural network (DNN) models on Qualcomm Hexagon Processors. Our team works with OEMs and developers to develop and optimize DNN models for the Qualcomm AI Stack. We are building optimized on-device AI stack with cutting edge hardware to run deep neural networks with that phone you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. In this position you will build high performance software for AI engines to extend our AI solutions into industry leading customer use cases. New Position

Duties and Responsibilities:

Development of modern C++17 software library for Qualcomm Hexagon Processors

Design and performance tune modern C++17 code for an embedded system

Development of model analyzing tools for the internal and external customers

Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX

Address issues found in existing and past Qualcomm AI products

Implement and optimize modern C++17 machine learning operations on Hexagon Processors

Debug customer machine learning use cases executing on Qualcomm AI Stack

Communication across globally diverse team

Participate in software quality process improvements

Preferred Qualifications:

3+ years of relevant work experience

Experience/expertise with C++, ideally modern C++ 17 language features

Background in mathematical algorithms using fast math libraries and vector instructions sets

Practical experience with developing middleware or firmware software

Experience with multitasking and multithreading driver development

Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems

Familiarity with TensorFlow, PyTorch or ONNX

Experience with tools such as git, Linux, JIRA and Docker

Knowledge of design patterns

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.