Software Engineer - Senior

Siemens EDA (Siemens Digital Industries Software)

Austin (TX)

Sur place

USD 140 000 - 200 000

Plein temps

14 jours+

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Résumé du poste

Siemens EDA is seeking a Senior Software Engineer for the QuestaSim (Simulation) R&D team to architect and develop AI-driven simulation tools. You will tackle cutting-edge algorithms and lead initiatives from conception to delivery in a fast-paced environment.

You will collaborate with engineering leaders and domain experts, applying Python, AI/ML frameworks, and agentic AI techniques to production-scale solutions in a global, ITAR/EAR governed setting.

Qualifications

  • 2+ years of proven industry software engineering with at least 1 year in AI/ML focused development.
  • Demonstrated expertise architecting and delivering enterprise-scale AI/ML solutions from concept to production.
  • Strong proficiency in Python and hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Deep knowledge of LLM-based systems, Agentic AI frameworks, RAG architectures, and vector databases.
  • Practical experience developing AI agents or copilots that interface with tools or external APIs.
  • Solid understanding of agentic design patterns and strong foundations in algorithms, data structures, and API design.

Responsabilités

  • Design and implement AI/ML and Agentic AI solutions in design and verification tools, establishing architecture patterns and best practices for enterprise-scale deployments
  • Build scalable AI platforms leveraging LLMs, Agentic Frameworks, MCP, LangGraph, vector databases, and retrieval-augmented generation (RAG) technologies
  • Develop intelligent agents capable of tool usage, workflow automation, reasoning, planning, and autonomous task execution
  • Evaluate and select AI technologies, models, frameworks, and infrastructure to meet product and business objectives
  • Architect end-to-end AI systems including data pipelines, model serving, observability, memory management, and deployment strategies
  • Collaborate with engineering leaders, product management, and domain experts to transform ideas into production-grade solutions

Connaissances

Python
AI/ML
LLM/AI
APIs
Algorithms
Data structures
C/C++

Outils

PyTorch
TensorFlow
Scikit-learn
Docker
CI/CD

Description du poste

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.

Position Overview

Join the QuestaSim (Simulation) R&D team at Siemens EDA as a Senior Software Engineer and drive innovation in simulation technology. In this role, you'll architect and develop cutting-edge algorithms and software solutions that power industry-leading simulation tools. Working alongside experienced engineers, you'll solve complex technical challenges in a fast-paced environment, taking ownership of strategic initiatives from conception through delivery. Your technical expertise, problem-solving acumen, and leadership will directly shape the future of electronic design automation.

Key Responsibilities
  • Design and implement AI/ML and Agentic AI solutions in design and verification tools, establishing architecture patterns and best practices for enterprise-scale deployments
  • Build scalable AI platforms leveraging LLMs, Agentic Frameworks, MCP, LangGraph, vector databases, and retrieval-augmented generation (RAG) technologies
  • Develop intelligent agents capable of tool usage, workflow automation, reasoning, planning, and autonomous task execution
  • Evaluate and select AI technologies, models, frameworks, and infrastructure to meet product and business objectives
  • Architect end-to-end AI systems including data pipelines, model serving, observability, memory management, and deployment strategies
  • Collaborate with engineering leaders, product management, and domain experts to transform ideas into production-grade solutions
Qualifications
Required:
  • 2+ years of proven industry software engineering experience with at least 1years in AI/ML focused development
  • Demonstrated expertise architecting and delivering enterprise-scale AI/ML solutions from concept to production
  • Strong proficiency in Python and hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Deep knowledge of LLM-based systems, Agentic AI frameworks, RAG architectures, and vector databases
  • Practical experience developing AI agents or copilots that interface with tools or external APIs
  • Solid understanding of agentic design patterns and strong foundations in algorithms, data structures, and API design
Preferred:
  • Experience with code understanding systems, AST analysis, or developer productivity tools
  • Proficiency in C/C++
  • Familiarity with containerization (Docker) and CI/CD practices
  • Background in Digital Design, SystemVerilog, or EDA tools
  • Knowledge of compilers, parallelism, or GPU profiling tools

This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

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 welcome 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!

Siemens Software. Transform the Everyday with Us

90,000 162,000 3-5

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