Staff Specialist Software

We are seeking a Staff Specialist to join the Infrastructure, Methodology and Automation team. The team defines the methodologies, tools, and automation used for automotive microcontroller software development and validation Your role Key responsibilities in your new role Define and evolve development and validation methodologies for automotive microcontroller software, and turn them into practical tools, templates, and automated workflows. Gather requirements from software, validation, and platform teams, and translate them into architecture, detailed design, and high-quality implementation. Design, develop, and maintain Python-based frameworks, CLI tools, libraries, and services that automate build, configuration, code generation, test, and validation activities. Design and build **agentic AI pipelines** that automate engineering tasks Build GenAI solutions using prompt engineering, retrieval-augmented generation (RAG) over specifications and code bases, embeddings and vector search, and tool-calling and multi-agent orchestration. Evaluate output quality, safety, latency, and cost. Establish and maintain CI/CD pipelines for build, test, static analysis, coverage, packaging, and release. Apply MLOps/LLMOps practices for model, prompt, and agent versioning, evaluation, and deployment. Drive tools and frameworks that scale across multiple projects and sites, with a focus on robustness, operability, and supportability. Uphold coding standards, and conduct code and design reviews using OOP principles and design patterns. Troubleshoot complex issues across toolchains, pipelines, and embedded targets, and drive root-cause analysis and timely resolution. Collaborate with product owners, architects, software and validation teams, QA, and DevOps to define requirements, acceptance criteria, and release plans. Produce and maintain documentation for methodologies, frameworks, AI components, and pipelines. Promote continuous improvement, knowledge sharing, and responsible AI adoption across the organization. Your profile Qualifications and skills to help you succeed  6-8 years of software engineering experience 5+ years of hands-on Python development 1-2+ years of applied AI/ML or GenAI experience in real project Strong Python skills, including object-oriented design, design patterns, packaging, typing, and async/concurrency. CI/CD experience (e.g., Jenkins, GitLab CI, GitHub Actions), including pipeline design, release automation, and artifact management. Experience building tools and automation for large-scale, multi-team or multi-site deployment. Understanding of Git and collaborative workflows (branching strategies, pull requests, code review). Clean, maintainable, well-documented code with strong attention to quality and reliability. Excellent communication skills, strong teamwork, and a proactive mindset. Preferred / Good-to-Have Knowledge of automotive development processes and standards, including ISO 26262 (functional safety) and Automotive SPICE. Experience with AUTOSAR and related tooling (e.g., EB Tresos, Vector DaVinci Configurator). Experience with automotive microcontroller platforms (e.g., Infineon AURIX, NXP S32, Renesas RH850) and their toolchains. Experience with SIL/HIL validation, test automation tools, and requirements/traceability tools (e.g., DOORS, Polarion, Jama) Experience with MLOps/LLMOps tools (e.g., MLflow, DVC, evaluation and observability tooling) and containerization (Docker, Kubernetes). #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.  Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon.