<br><br> About Company: Siemens is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In addition, Siemens holds a minority stake in Siemens Energy, a global leader in the transmission and generation of electrical power. In fiscal 2021, which ended on September 30, 2021, the Siemens Group generated revenue of €62.3 billion and net income of €6.7 billion. As of September 30, 2021, the company had around 303,000 employees worldwide. Further information is available at <a href="www.siemens.com">www.siemens.com</a>. <br><br> Job Title: Research Engineer – Generative Optimization <br><br> Location: Bangalore, India <br><br> Organization: Research in Digitalization & Automation (RDA) at Siemens Technology <br><br> Introduction <br> With over 1,900 research operatives worldwide, the Technology organization occupies a special position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Technology helps secure the company's technological future and bolster its competitiveness. <br> Research in Digitalization & Automation (RDA) is at the heart of Siemens R&D. Its strong technology base makes it a strong in-house partner for innovation. We develop technologies with wide applicability for the Siemens Divisions and help them to successfully bring innovations to market. Our about 1,800 scientists at locations in North America, Europe, and Asia ensure the technological and innovative future of the company. <br> Our team has focus on developing innovative technologies in the field of simulations and digital twins. We are part of wider Simulation and Digital Twin research team where approaches such as physics-based data learning models, heterogenous computing architectures, AI / ML for the accelerated simulation, advanced visualization are primary research topics. <br><br> This is your role. What part will you play? <br>- Research and development in Generative Optimization as well as the ability to come up with innovative concepts using generative models <br>- Research and development in Geometric deep learning <br>- Develop and prototype applications for innovations in generative optimization <br>- Keeping abreast with the State of the art in the area of Digital twin applications <br>- Development of Proof of Concepts in areas related to machine learning for CAD/ CAE models <br>- Implementation of web applications for advanced engineering data visualization <br>- Implement custom software components to address requirements not handled by off-the-shelf systems (e.g., processing domain specific data, handling large volume data, etc) <br>- Work on existing R&D projects with a focus on delivering results, help define future projects and help shape roadmaps for the technological area <br>- Collaborate, research, and publish findings at various internal and external forums <br>- Interact with customers to understand their pain points and suggest line of action <br>- Work closely with customers to deliver outstanding solutions in business projects and integrate them with customer workflows <br><br> We don’t need superheroes, just super minds <br><br> Technical Expertise <br>- Experience in the simulation and Digital twin domain <br>- Proficient in Python, Python Flask or Django framework and automation frameworks <br>- Experience with CAD related tools like NX, Solidworks etc <br>- Familiarity with machine learning and Deep Learning, including hands on implementation experience <br>- Excellent quantitative aptitude <br>- Ability to come up with custom algorithms <br><br> Qualifications <br>- Bachelor’s or Master’s in computer science Mechanical engineering/Aerospace/Electrical/Electronics engineering <br>- Demonstrated relevant work experience of 0-2 years <br>- Demonstrated experience in development of custom algorithms <br>- Demonstrated experience in programming for real world applications <br>- Interest in working on innovative industrial products and projects <br>- Interest in contributing to technical papers at prestigious conferences and journals <br><br> What else do I need? <br>- Excellent communication skills in English <br>- Self-motivated and independent, but also comfortable with teamwork. <br>- R&D exposure will be a plus <br>- Focus on quality and result orientation <br>- Optimistic, can-do attitude <br>- Innovative and responsible <br><br> Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work. <br><br> Please find more information at: <a href="https://new.siemens.com/global/en/company/innovation/research-development.html">https://new.siemens.com/global/en/company/innovation/research-development.html</a> <br><br> We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role. <br><br> Organization: Technology <br><br> Company: Siemens Technology and Services Private Limited <br><br> Experience Level: Mid-level Professional <br><br> Full / Part time: Full-time
