JR-202424636 Senior Software Developer - Simulation DevOps Infrastructure

Description
Hybrid: This means the successful candidate is expected to report to their primary location (Tuesday, Wednesday & Thursday) three times per week, at minimum.The Role: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.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 reportingWork 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 equivalent5+ years of relevant working experience with DevOpsExperience 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 databasesExperience with deploying software at scale on cloud environmentsSoftware and/or test automation development experience in a Continuous Integration, Continuous Deployment and Continuous Testing environmentExperience working with Scrum/Agile software development process and toolsHands on experience in Python, Docker, and Kubernetes. Certification in Kubernetes Administration an assetExperience with networking, switches, and routers specifically in a virtual environment. CCNA certification an asset.Familiarity with software optimization and/or GPU programming an assetAble to work in a team as well as independentlyMust possess excellent communication skillsWhat Will Give You A Competitive Edge (Preferred Skills)MS or PhD in Computer Science/Engineering preferredCompensation: 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.
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Diversity Information
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