Staff Specialist Software

Overview

Staff Specialist Software on the Infrastructure, Methodology and Automation team, which defines the methodologies, tools, and automation used for automotive microcontroller software development and validation.

What you'll do

• 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.

What you'll need

• 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.

Nice 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).