3.0 - 7.0 years

0 Lacs

noida, uttar pradesh

On-site

As a member of the QuestaSim (Simulation) R&D team at Siemens EDA, you will play a crucial role in designing and developing AI/ML-driven algorithms and solutions to enhance the performance and capabilities of simulation tools. Your contributions will involve creating cutting-edge engines and components, integrating machine learning techniques into simulation and verification workflows, and enhancing existing codebases. In this role, you will collaborate with a team of experienced engineers to solve complex problems in a dynamic environment. Your expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies will be key in achieving project milestones. Your ability to stay self-motivated, disciplined, and innovative will drive progress within the team. To excel in this position, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field. Your hands-on experience with AI/ML techniques such as supervised and unsupervised learning, neural networks, and reinforcement learning will be essential. Proficiency in programming languages like C/C++ and Python, along with a strong foundation in algorithms and data structures, is required. Knowledge of machine learning and deep learning frameworks, compiler concepts, optimizations, parallel computing, UNIX/Linux platforms, and problem-solving skills are also crucial for this role. Additionally, familiarity with Digital Electronics, SystemVerilog, Verilog, VHDL, simulation technologies, and formal-based verification methodologies will be advantageous. At Siemens, we value diversity and inclusion, and we are committed to creating a workplace where all individuals are respected and empowered. If you are passionate about shaping the future through innovation and technology, we encourage you to join us on this exciting journey. Your curiosity and creativity will help us build a better tomorrow.,

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Senior Software Engineer Siemens

4.0 - 9.0 years

4 - 9 Lacs

Noida, Uttar Pradesh, India

On-site

Design and develop AI/ML-driven algorithms and solutions to enhance 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 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. Job Qualification: B.Tech or M.Tech in Computer Science & Engineering (CSE), Electrical Engineering (EE), or Electronics & Communication Engineering (ECE) from a reputable engineering institution having 4-10 years of experience. Experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new ideas. We need someone with hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, reinforcement learning, data Analysis techniques, data cleaning, visualization, feature engineering, etc. We are looking out for a candidate with strong proficiency in programming languages like C/C++ and Python, along with solid 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 ability to work independently, take ownership of tasks, and deliver results. We are not looking for superheroes, just super minds! 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 Experience with developing and using Generative AI and AI agents.

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