Looking for Siemens EDA Ambassadors- QuestaSim (Simulation) R&D team (strong AI/ML background)
This is your role
In this role, you will, craft and develop AI/ML-driven algorithms and solutions to improve 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 improvement 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 multifaceted 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.
Required Qualifications
- We are seeking a graduate with Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field from an accredited institution.
- We value your experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new insights.
- 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 track record to work independently, take ownership of tasks, and deliver results
- A plus!
- 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!