Staff Software Integration Engineer for Machine Learning Accelerator

Qualcomm•San Diego, CA

About The Position

You will join the Cloud software team focused on definition and implementation of the overall continuous integration & testing strategy for a new machine learning program. This involves development of tools and automation framework. You will work closely with development and architecture team to understand accelerator features and define test plans and solutions needed to deliver production grade software/firmware to the end customer. You will be collaborating with a variety of internal teams within Cloud as well as with Qualcomm’s commercial division (QCT) covering multiple engineering disciplines including software, systems, and hardware. The successful applicant should have a diverse skill set and a strong background in build integration, testing and automation strategies.

Requirements

5 years in CI, Test or Software Engineering
5+ years’ experience with Programming Language such as Python, Shell Script
Strong experience in source control management like Git, Gerrit and perforce.
Experience of working with Code coverage tools like Klocwork, Parasoft or any other similar tools
Strong experience of automating workflows using python or any other programming language.
Strong problem-solving skills
Experience in designing REST interfaces using Django or any other framework.
Experience in scripting languages like python/groovy
Ability to prioritize and execute tasks across multiple projects with tight deadlines and aggressive goals.
Experience in shell scripting and windows batch commands.
Know-how of database schema and SQL.
Familiar with open source licenses, commercial licenses, and licensing for standards
Excellent English communication (written and verbal) and interpersonal skills
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
1+ year of experience with debugging techniques.

Responsibilities

Develop and maintain Jenkins pipeline for various software module builds, test on various hardware & bundling of meta builds and SDK
Develop & implement strategy to resolve cross dependencies across various software modules.
Develop & maintain Internal web page for all builds & code coverage
Implement branching strategy, module & SDK tags.
Support development team for CI need like repo creation, branching for release, resolving dependencies.
Integrate various code coverage tools like Klockwork, Parasoft in CI.
Develop and maintain tools for Performance measurement of ML models with various frameworks.
Develop & Maintain Automation Framework to enable teams to execute test cases.
Manage Infrastructure of Build Servers, Target Machines & Storage required for CI need.
Collaborate with teams across multiple Geo locations
Hire the right skill and train the team