AI/ML Engineer

2 days ago


Kurnool, India Siemens EDA (Siemens Digital Industries Software) Full time

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.


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