Siemens Software Engineer - Debug 

United States, Texas, Austin 

444070841

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/ML-driven algorithms and solutions to enhance simulation tools' performance and capabilities.

• Contribute to building state-of-the-art engines and components, integrating machine learning techniques into simulation and verification workflows.

• Contribute to the development and enhancement of production-quality components, algorithms, and engines while supporting and improving existing codebases.

• Solve complex, open-ended problems in collaboration with a senior group of engineers in a fast-paced and dynamic environment.

• Apply technical expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies to achieve project milestones.

• Stay self-motivated, disciplined, and focused while driving innovation within the team.

have:

• Experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new ideas.

• Hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning.

• Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures.

• Knowledge of machine learning and deep learning frameworks.

• Strong understanding of Compiler Concepts, Optimizations, and parallel computing.

• Experience working on UNIX and/or LINUX platforms.

• Excellent problem-solving and analytical skills.

• Proven ability to work independently, take ownership of tasks, and deliver results

Good to have:

• Basic knowledge of Digital Electronics and concepts related to SystemVerilog, Verilog, and VHDL.

• Exposure to Simulation technologies or Formal-based Verification methodologies is a plus.

:
A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field from an accredited institution.