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Research Engineer - Computer Graphics for Industrial Metaverse (Remote)

Job Description

Computer Graphics for the Industrial Metaverse!

We are currently looking for brilliant and hard-working Research Engineers and Senior Research Engineers with deep know-how and interest in computer graphics, virtual environments and metaverse, who would like to join our Design and Simulation Systems Research Group of the “Simulation and Digital Twin” Technology Field! We are based in Princeton, NJ, but this position offers remote flexibility, so if you are comfortable working remotely we are too! 

We need your help to build the world's most sophisticated modeling and simulation software stack to enable seamless and instantaneous design and simulation of engineering products and systems, in collaboration with our partner startups, leading academic institutions and government agencies. We are currently bringing onboard talented scientists and engineers like you to research and create a platform to enable a completely new design workflow, through intuitive geometric modeling, faster than real time simulations and easy assimilation of contextual information!


The Challenge

You will experience the excitement and challenges of industrial research and be part of a world class team. Your responsibilities will be:

  • Collaborate with the team to fulfill our vision by developing novel fast and interactive design and visualization approaches.
  • Perform innovative research and development in the area of interactive design in virtual environments
  • Prototype, implement and evaluate the most promising algorithms for the numerical solution to real-world physical problems.
  • Realize demonstrators of the developed technology on an industrially relevant use case
  • Build Siemens-internal network to acquire and lead research projects to advance the technology and secure innovation
  • Participate and lead projects with Siemens businesses, including research & development as well as technical consulting
  • Communicate complex ideas and testing results effectively, both orally and in writing, and provide recommendations and support to internal engineering teams through accurate and effective written documentation
  • Assist developing brand recognition externally by networking with industry experts, attending conferences and partnering with universities in the US

The Candidate

Qualified candidates will have: 
  • Masters in Engineering, Mathematics, Computer Science, Computer Graphics or equivalent required. PhD preferred. 
  • Research Engineers must have 2+ years of related experience. Senior Research Engineers must have 6+ years of related experience.
  • Strong background in latest computer graphics algorithms for rendering and simulation
  • Familiarity with real-time ray tracing and physics-based simulation
  • Experience with advanced graphics and visualization of content using systems such as Unreal, Unity etc., including programming own shaders and plugins
  • Experience with GPU compute-based algorithms using CUDA or compute shaders
  • Knowledge and experience with Omniverse platform and USD file format 
  • Strong coding skills in Python, C++, CUDA, and ability to write high quality code
  • Publications and research experiences in related fields are a plus
  • Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, with motivation to learn and use new technologies, work under uncertainty at fast pace, and ability to multitask and make key contributions to several projects 

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

Siemens Technology employees are passionate about applied research. We create technology with purpose that benefits society - more agile and productive factories, more intelligent and efficient buildings and grids, more reliable and sustainable transportation. Our work powers Siemens products and is regularly featured in patents and publications. We operate in a global ecosystem focused on innovation, partnering with our customers, businesses, government agencies, and leading academic institutions on highly visible projects where collaboration is key.

Our people continuously develop their talents, are curious, and are not afraid to take risks in pursuit of technological innovation. A strong learning culture empowers employees at Siemens Technology to own their growth and development.

We know that diversity fuels innovation and drives business success. We are committed to creating an inclusive environment, where diversity of thought, culture, and experience is seen as our greatest strength. This is what brings our best ideas to life.

We take pride in bringing our best selves to work every day, prioritizing individual health, work-life blend, and flexibility. We offer a generous remote working environment as well as robust health and wellness benefits to promote healthy living and support the best lifestyle for you and your family. 

At Siemens Technology, the success of our employees drives our success.




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Organization: Technology

Company: Siemens Corporation

Experience Level: Mid-level 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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