Senior Software Developer - Compute Platform Simulation DevOps Infrastructure

at  General Motors

JOB DESCRIPTION

The Software Defined Vehicle will increase the vehicle’s compute capability, be connected, and allow for faster software development cycles. As a Compute Platform Simulation DevOps Infrastructure Developer, you will be on the forefront of realistic automotive software-in-the-loop simulation environments ensuring highly optimized, largely automated, high-fidelity vehicles on demand that can be deployed by the team and are capable of running thousands of simultaneous scenarios on cloud compute.
The simulations support algorithm development of hands-free driving in all situations, active safety features, in-vehicle Infotainment, and embedded control among others. The primary focus in this role is to design and implement a build, assembly, and deploy pipeline for software-in-the-loop high-fidelity virtual vehicle configurations that can be run at scale on cloud compute with the results fed back for data analytics. You will be working cross-collaboratively with many teams to integrate these systems into a wider CI/CD toolchain to ensure 100% uptime, reliability, and usability of the simulation when executing both locally and on cloud compute.

Key Responsibilities

• Design, implement, deploy, and maintain cloud infrastructure for software-in-the-loop simulation including all aspects of monitoring, logging, configuration management, execution, and reporting
• Work collaboratively with multiple agile teams to help deliver end-to-end products and features, seeing them through from conception to delivery
• Increase the sophistication of our alerting and dashboarding mechanisms, and tune them to meet the growing business needs
• Create, maintain, and iterate on our CI/CD processes for new and existing services
• Scale, and manage Linux virtual environments
• Help increase system performance with a focus on availability and scalability
• Identify and implement areas of efficiency of the process and the product when scaling up

Qualifications

• Bachelor Degree in Software Engineering, Computer Engineering or Computer Science
• 5+ years of working experience with DevOps
• Experience working with DevOps technologies and tools including the ability to configure and manage large systems at scale.
• Experience working with analytics and visualization applications including creating data models and managing databases
• Experience with deploying software at scale on cloud environments
• Software and/or test automation development experience in a Continuous Integration, Continuous Deployment and Continuous Testing environment
• Experience working with Scrum/Agile software development process and tools
• Hands on experience in Python, Docker, and Kubernetes. Certification in Kubernetes Administration an asset
• Experience with networking, switches, and routers specifically in a virtual environment. CCNA certification an asset.
• Familiarity with software optimization and/or GPU programming an asset
• Able to work in a team as well as independently
• Must possess excellent communication skills

• Design, implement, deploy, and maintain cloud infrastructure for software-in-the-loop simulation including all aspects of monitoring, logging, configuration management, execution, and reporting
• Work collaboratively with multiple agile teams to help deliver end-to-end products and features, seeing them through from conception to delivery
• Increase the sophistication of our alerting and dashboarding mechanisms, and tune them to meet the growing business needs
• Create, maintain, and iterate on our CI/CD processes for new and existing services
• Scale, and manage Linux virtual environments
• Help increase system performance with a focus on availability and scalability
• Identify and implement areas of efficiency of the process and the product when scaling u