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
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $152,100.00 - 232,00.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
