Senior Software Engineer (AI/ML)

Siemens

2 - 4 years

13 - 18 Lacs

noida

Posted:2 days ago| Platform:

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Skills Required

python algorithms c++ c eda scikit-learn aiml artificial intelligence design automation pipeline deep learning artificial neural networks tensorflow profiling data science pytorch vector data structures api system verilog parallel computing ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Impact: What You'll Do

As a Software Engineer, you will be a key contributor to the QuestaSim R&D team, driving the development of intelligent systems that revolutionize electronic design verification.

Your responsibilities will include:

D esigning and Developing AI Agents: Architect and implement AI-powered agents leveraging Large Language Models (LLMs), LangChain, vector databases, and Retrieval-Augmented Generation (RAG) techniques.
Building Intelligent Automation: Create intelligent systems capable of understanding natural language queries and automating complex design verification workflows.
Experimenting with ML Pipelines: Integrate and experiment with advanced ML pipelines, focusing on data-driven decision-making and reinforcement learning for adaptive systems.
Prototyping & Productizing Tools: Drive the prototyping and productization of innovative tools that utilize code understanding, profiling, and advanced data analysis.
Collaborative Innovation: Work closely with AI researchers, UX designers, and backend engineering teams to transform groundbreaking ideas into robust, production-ready features.
Advanced AI Techniques: Apply expertise in prompt engineering, few-shot learning, and sophisticated tool-use orchestration to enhance AI agent capabilities.

What We're Looking For

Experience: 2-4 years of proven professional experience in AI/ML software development.
AI/ML Frameworks: Hands-on expertise with leading AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
LLM Ecosystem: Strong working knowledge of LangChain, RAG pipelines, and vector stores.
Deep Learning: A solid understanding and practical experience in applying Deep Learning models, including Artificial Neural Networks (ANNs) and transformers.
AI Agent Development: Demonstrated experience in developing AI agents or copilots that effectively interface with external tools or APIs.
Programming Prowess: Proficiency in Python, coupled with familiarity with software design patterns and a commitment to writing clean, maintainable code.
Data Science Fundamentals: Practical experience in data preprocessing, feature engineering, and rigorous model evaluation.
LLM Familiarity: Familiarity with various LLMs (e.g., OpenAI, LLaMA, Claude) and best practices in prompt engineering.
Full Lifecycle Development: Ability to identify compelling AI use-cases, conceptualize innovative solutions, and drive projects from prototype to production.
Core Computer Science: Strong proficiency in programming languages like C/C++ and Python, along with robust foundations in algorithms and data structures.

Good-to-Have Skills:

EDA Domain Knowledge: A background or keen interest in Digital Design, SystemVerilog, or Electronic Design Automation (EDA) tools (domain knowledge can be acquired on the job).
Compiler/Performance: Basic knowledge of compilers, parallelism, or profiling tools is considered a bonus.

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