6 software deployment engineer jobs at 5 companies in Clio, MI
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Software Test Engineer (Virtualization - SIL) - ADAS Virtualization Deployment
Milford or Warren
HybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOEBS in technical field,5+ years engineering experience in software testing or simulation,experience with SIL/virtualization,test automation,and scripting (Python/MATLAB/C/C++).
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's degree and 8+ years in software engineering, AI, or machine learning, including 3+ years with LLM systems; Python, AI/ML frameworks, deep learning, and production deployment experience required.
HARMAN: Designs and manufactures connected audio and automotive electronics.
8+ YOE8+ years building production software and ML/LLM systems; expertise in AI agents, RAG, vector search, model routing, governance, and production deployment; strong Python/Node.js and cloud skills.
Nexteer AutomotiveSEHK: 1316: Global manufacturer of automotive steering and driveline systems.
2+ YOE2+ years building AI agentic systems using LLMs and agent frameworks, proficiency in Python or TypeScript, experience with REST APIs/webhooks/SDKs, vector DBs and containerized deployments; Bachelors in Computer Engineering required.
Nexteer AutomotiveSEHK: 1316: Global manufacturer of automotive steering and driveline systems.
1+ YOE1+ years related experience; familiarity with AI tools and large language models; working knowledge of Python or TypeScript; experience integrating systems via APIs (Slack, GitHub, Jira); understanding of prompts, embeddings, and deployment/containerization; bachelor's degree in a relevant field.
FORVIAEuronext Paris: FRVIA: Designs and manufactures automotive systems and technologies.
5+ YOEMaster's/PhD in CS/ML/AI, 5+ years ML experience (preferably 7+), strong computer vision and deep learning expertise, production model deployment, Python, PyTorch/TensorFlow, CUDA, ML pipelines, and scalable system design.