Internship Agentic AI for Automated Code Generation in Safety-Critical Embedded Software
Core
Design and implement an agentic AI pipeline to automate code generation, testing, and static analysis for safety-critical embedded software (C/C++ on QNX/Linux) based on requirements and tickets.
Role type
Intern, Agentic AI Engineer (Automated Code Generation)
Builds
An agent pipeline that generates pull requests with code, unit tests, and static analysis results for embedded systems.
Domain
Embedded Systems / Safety-Critical Software / Generative AI
Deliverable
production ML models
Required skills
Python, C/C++, LLMs and AI coding assistants, Git, CI/CD, Linux, RAG, Context Engineering (via careerplan.io/jobs/744000153500999-internship-agentic-ai-for-automated-code-generation-in-safety-critical-embedded-software-a)
Preferred skills
Experience with multi-agent orchestration, MISRA C/C++ compliance, ISO 13849/IEC 61508 standards
Technologies
Claude Code, GitHub Copilot, MCP, QNX, embedded Linux, GitHub Actions, Jenkins, clang-tidy
Responsibilities
Analyze development processes to identify automation potential; Develop agent pipelines for code generation and self-correction; Integrate structured knowledge bases and coding guidelines; Ensure safety/security constraints and traceability; Measure impact via KPIs; Deliver a working prototype and rollout recommendations.
Seniority
Intern
