Gen AI Transformation Engineer - Embedded SW
Core
Implementing AI-first engineering practices to improve developer productivity, software quality, and delivery velocity across embedded software and platform systems.
Role type
Staff Gen AI Transformation Engineer (Embedded SW)
Builds
AI-enabled SDLC capabilities, reusable agents, prompts, tools, MCP integrations, and automation patterns for code understanding, generation, review, debugging, and testing.
Domain
Embedded systems, platform software, and Generative AI engineering workflows.
Deliverable
production ML models | product features
Required skills
GenAI concepts, LLM usage patterns, prompt and context design, model and tool integration, evaluation, C, C++, Java, Python, embedded software development, CI/CD, release workflows, Linux, Android, RTOS, device drivers, SoC bring-up, hardware/software interfaces.
Preferred skills
AI agents, RAG, context-aware systems, MCP services, tool-calling workflows, evaluation harnesses, prompt libraries, AI automation platforms, AI-enabled developer productivity use cases, edge AI deployment.
Technologies
AI Agents, Android, CI/CD, Embedded, Hardware Support, Java, LLM, Linux, MCP, Python, RAG, Spark, Cisco, HTTP, REST, Web
Responsibilities
Execute GenAI workstreams with clear deliverables and success criteria; turn prioritized engineering use cases into prototypes and production-ready workflows; build and maintain AI-enabled SDLC capabilities; develop reusable agents and automation patterns; partner with embedded and platform teams to onboard workflows and resolve integration issues; track execution status and adoption metrics.
Seniority
Staff, hands-on IC with strategic execution
