Siemens-posted 8 months ago
$105,100 - $189,200/Yr
Full-time • Mid Level
Remote • Austin, TX
Machinery Manufacturing

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Austin, TX or Fremont, CA.

  • Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG).
  • Build intelligent systems that understand natural language queries and automate complex workflows.
  • Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems.
  • Prototype and productize tools that leverage code understanding, profiling, and data analysis.
  • Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features.
  • Work on prompt engineering, few-shot learning, and tool use orchestration.
  • Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • 4-8 years of proven experience.
  • Strong working knowledge of LangChain, RAG pipelines, and vector stores.
  • Strong understanding and experience in application of Deep Learning models like ANNs and transformers.
  • Experience in developing AI agents or copilots that interface with tools or external APIs.
  • Proficiency in Python; familiarity with software design patterns and clean code.
  • Practical experience in data preprocessing, feature engineering, and model evaluation.
  • Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices.
  • Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production.
  • Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures.
  • Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job).
  • Basic knowledge of compilers, parallelism, or profiling tools is a bonus.
  • Competitive compensation, flexibility, and a collaborative culture.
  • Health and wellness benefits.
  • Paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).
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