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.

What You'll do:

• 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

Additional Description

Your Skills & Abilities (Required Qualifications)

• Bachelor, Masters or PhD degree in Computer Science, or an Engineer degree in Software, Computer, or Electrical Engineering or equivalent
• 5+ years of relevant 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

What Will Give You A Competitive Edge (Preferred Skills)

• MS or PhD in Computer Science/Engineering preferred

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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

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