AI/ML Engineer

3 days ago

bangalore, 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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