Research Engineer: Deep Learning & Collective Intelligence

Research Engineer

The Corporate Technology department occupies an outstanding 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, USA, China, India, Russia, Japan and Eastern Europe, Corporate Technology helps secure the company’s technological future and strengthen its ambition.

Our Research Group (Advanced Data Management), located in Bangalore, is part of Business Analytics and Monitoring (BAM) Technology Field. Headquartered in Munich, we are a passionate community of around 240 researchers, data scientists and architects distributed across the globe. We strive to solve complex problems in various domains ranging from industry, energy, mobility and buildings to smart cities by applying methods and principles of data analytics and artificial intelligence. We are looking for equally passionate techies to join us in this exciting journey of finding solutions to some non-trivial problems of the petabyte world.

Change the future with us

• As a Lead Research Engineer, can you move beyond theoretical models and build innovative, practical, and robust real-world solutions for Computer Vision based applications in smart mobility, intelligent infrastructure, and autonomous systems?
• Can you develop strategic concepts and engage in technical business development to address new markets with our business units, using video-analytics based technologies?
• Do you find it exciting to dive deep into an ocean of data and solve challenges associated with transforming and enriching such large complex datasets?
• Can you demonstrate outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals?

What you need to make real what matters.

• Do you have a PhD/Master’s degree in Computer Science and from a reputed institute with grass-root experience of at least 4 years in solving complex problems and driving actionable insights.
• Hands-on experience with one or more of the following is a must:
• Minimum 1 year of experience working on Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms)
• Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch
• Hands-on experience using OpenCV and OpenGL
• Research, develop and prototype software technologies related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM and photometric stereo
• Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices
• Excited to collaborate with team members from idea generation, prototyping through production, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio
• Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles towards adoption.
• Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies
• Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.

Make your mark in our exciting world at Siemens.

This role is based in Bangalore. You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come.

We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality.

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds