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AI Software Development Engineer

Stellantis
Posted a month ago, valid for 13 days
Location

Auburn Hills, MI, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Stellantis is seeking an experienced Software Engineer to develop AI pipelines for software defined vehicle domains such as ADAS and Connectivity.
  • Candidates should have a Bachelor of Science degree in a relevant engineering or computer science field and a minimum of 3 years of software development experience in C/C++.
  • The role involves designing and developing AI pipelines, middleware, and service-oriented software solutions while collaborating with cross-functional teams.
  • Familiarity with AUTOSAR concepts, Git, CMake/Bazel, and CI/CD toolchains is required, along with hands-on experience building LLM based Agentic AI pipelines.
  • The position offers a competitive salary, although the specific amount is not mentioned in the job description.

At Stellantis, we're building the next generation of connected, autonomous, and intelligent vehicles. We are looking for an experienced Software Engineer to develop AI pipelines supporting the software architecture and platform services that power multiple software defined vehicle domains including ADAS, Connectivity, Infotainment, and next-generation vehicle architectures.

 

In this role, you will design and develop AI pipelines, middleware and service-oriented software solutions, contribute to platform architecture, and work closely with cross-functional teams to deliver scalable, high-performance software.

Qualifications

Basic Qualifications:

  • Bachelor of Science degree in Electrical, Mechanical, Aerospace, or Computer Engineering, Computer Science, or related field
  • A minimum of 3 years of software development experience in C/C++, and/or other high-level programming languages
  • Knowledge of AUTOSAR (Classic & Adaptive) concepts, architecture, specifications, and configuration tools
  • Experience using Git, CMake/Bazel, Conan, and CI/CD toolchains.
  • Hands-on experience building LLM based Agentic AI pipelines
  • Experience deploying AI pipelines into production
  • Strong problem-solving, communication, and collaboration skills.
  • Familiarity with cloud-connected and AI-enabled vehicle platforms



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