AI/ML Engineer

Key Responsibilities :

We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the R&D team at Siemens EDA. In this role, you will :

• Architect, design, and implement AI algorithms and applications using modern software development practices to enhance simulation tools performance and capabilities.
• Create prototypes to validate ideas and features quickly. Experiment with various algorithms and technologies to improve AI capabilities and software solutions.
• 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.

Should have :

• Experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new ideas.
• Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures.
• Hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning.
• Hands-on experience with developing ML pipelines, database management and cloud services.
• Knowledge of machine learning and deep learning frameworks.
• 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 System Verilog, Verilog, and VHDL.
• Exposure to Simulation technologies or Formal-based Verification methodologies is a plus.

Education :

A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electrical

Engineering, or a related technical field from an accredited institution.