**Job Family:** Research & Development
**Req ID:** 329811
**Position Overview**
We are seeking a
dynamic Senior Research Scientist to join our Sustainable Automation Solutions
Research Group and support our Siemens business units and end customers in the
US. The right person will have a strong technical background in IT and OT
technologies and a passion for designing industrial computer vision solutions
from a connectivity / driver level up to (AI-based) image processing pipelines
from concept to completion!]
The Challenge
In the role as Senior Research Scientist, you will
+ Define, research, and implement Industrial Edge applicationsfor computer vision in manufacturing industries, from a connectivity / driverlevel up to (AI-based) image processing pipelines
+ Work with other Research Scientists, SoftwareDevelopers, industry customers, business unit and research partners and systemintegrators on developing end-to-end industrial computer vision solutions
+ Try to solve the most challenging and scalableuse cases in industrial machine vision together with a motivated team oftechnical, industry and business experts
+ Focus on runtime / inference performance optimizationsto deploy computer vision applications in manufacturing environments (e.g. FastMoving Consumer Goods, Automotive)
+ Completetechnical solution co-creation for the development and implementation ofcustomer solutions, ideate, architect, design, implement and deploy end-to-endsystems
+ Consultwith appropriate groups inside and outside of Siemens AG for complex domesticand international projects
The Candidate
Qualified candidates will have:
+ Ph.D. in Engineering, Mathematics, Computer Science,or related fields
+ 5+ years of experience implementing machine learningalgorithms in a production setting (vision and time-series domains), 5+years of experience with interfacing with cameras and design elements ofvision systems.
+ Has shipped multiple vision-based machine learning productsand has experience with the machine learning product lifecycle as well asruntime integration and performance optimization
+ Knowhow of standardindustrial machine vision communication (e.g. RTSP, Genicam, Onvifstandards)
+ Experience in creating scalable and high-performance architectures(to address the high-speed requirements in the manufacturing industry).
+ Experience building applications using deep learningframeworks like Keras , Tensorflow, PyTorch , Caffe in either productionor research settings.
+ Expert level competency inPython with strong hands-on experience using OpenCV, scikit learn, numpy,scipy, pandas libraries.
+ Experience with unit testinglibraries such as PyTest, MyPy, and GTest.
+ Experience in creating APIs
+ Experience with Linux development environment, dockerdevelopment and deployment
+ Excellent interpersonal and communication (verbal &written) skills in English required. Capable of presenting complextechnical topics in a clear and structured way, ability to moderatediscussions, meetings, and projects.
+ Curiosity to ask questions and find innovative solutions totechnical challenges
Successful candidate must be able to work with controlled technology in
accordance with US Export Control Law. US Export Control laws and applicable
regulations govern the distribution of strategically important technology,
services and information to foreign nationals and foreign countries. Siemens
may require candidates under consideration for employment opportunities to
submit information regarding citizenship status to allow the organization to
comply with specific US Export Control laws and regulations. Additional
information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
About Us
For nearly 170 years, pioneering technologies, and the business models
developed from them, have been the foundation of Siemens success. Our central
research and development unit, Technology (T) plays a meaningful role in this.
Together with its global network of specialists, T is a strategic partner to
Siemens operative units. It provides important services along the entire value
chain from research and development to production and quality assurance, as
well as optimized business processes. The support provided to the businesses in
their research and development activities is ideally balanced with Ts own
forward thinking research. Siemens central research and development arm sees
itself as a strategic partner to the companys businesses. It plays a key role
in achieving and maintaining leading competitive positions in the fields of
electrification and automation while at the same time helping Siemens fully tap
into the growth field of digitalization.
We also offer a generous remote working environment as well as robust health
and wellness benefits (such as paid parental leave & a be well employee
program) to promote healthy living and support the best lifestyle for you and
your family!
Join Us
At Siemens we are always challenging ourselves to build a better future. We
need the most innovative and diverse Digital Minds to develop tomorrows
reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
We are more than employees; we are actively helping to make peoples lives a
little better every day. Would you like to be a part of that? Then join us. We
offer you a high level of practical relevance as well as an opportunity to
individually contribute your knowledge and your visions around the world.
Whether youre helping to develop products for the operating units or working
in interdisciplinary projects for the business areas: At Corporate Technology
youll be working in the heart of Siemens technological research together with
the best.
**Organization:** Technology
**Company:** Siemens Corporation
**Experience Level:** Early Professional
**Job Type:** Full-time
**Equal Employment Opportunity Statement**
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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