About the position
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. We are seeking a highly motivated and experienced software engineer for our Small Verification - AI/ML Team with a strong background in AI/ML to join our Smart team at Siemens EDA. In this role, Candidate 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.
Responsibilities
- 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.
Requirements
- 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.
Nice-to-haves
- 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.
Benefits
- Flexible working arrangements between home and office.
- Variety of health and wellness benefits.
- Paid sick leave, paid parental leave, PTO or non-accrued flexible vacation.
