Job
Description
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!
