Machine Learning Engineer

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.

About the Group :

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 Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come.

We make real what matters!

Key Responsibilities :

We are seeking a highly motivated and experienced software engineer with a strong background in AI / ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will :

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

What We’re Looking For :

Must-Have :

Hands-on experience with AI / ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).

We are looking for candidates with 2-4 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.

Good to Have :

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.

Why Join Us?

Work on cutting-edge AI R&D projects with real product impact!

Be part of a startup-like team within a global tech company.

Opportunity to lead innovation, publish internally, and drive industry-first solutions.

Competitive compensation, flexibility, and a collaborative culture.

We are Siemens

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!

We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Transform the everyday

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