Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)
Core
Design and deliver AI-driven SDLC platforms that combine agentic AI, GenAI, DevOps, and embedded engineering workflows to enable autonomous, scalable, and intelligent software development ecosystems.
Role type
Principal Engineer / AI Architect (Multi-GenAI Orchestration)
Builds
AI-enabled embedded SDLC platforms, multi-agent orchestration frameworks, and autonomous engineering systems
Domain
Automotive embedded systems, Generative AI, DevOps, Atlassian ecosystem
Deliverable
production ML models | infrastructure
Required skills
Multi-GenAI orchestration, LLMs, prompt engineering, RAG, LangChain, AutoGen, CrewAI, Python, C/C++, Atlassian platform (Jira, Confluence, Bitbucket), DevOps, CI/CD, Distributed systems, Embedded systems, RTOS, ECU architectures, ASPICE, Safety-critical systems, Azure, AWS
Preferred skills
NXP AI Community standards, Enterprise AI governance
Technologies
LangChain, AutoGen, CrewAI, Jira, Confluence, Bitbucket, Azure, AWS
Responsibilities
Define and lead architecture for Multi-GenAI orchestration platforms; Design orchestration across multiple LLMs, AI services, and agent-based systems; Architect and implement an AI-enabled embedded SDLC; Design agentic AI systems for autonomous execution of engineering workflows; Integrate AI into CI/CD pipelines and DevOps ecosystems; Drive AI-enabled transformation of embedded software development including complex device driver development and ECU software lifecycle
Seniority
Principal, strategy & mentorship
