R&D Engineer –Edge Robotics and AI

Job Description

Organization: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 228466
Primary Location: United States-California-Berkeley
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: No

Division Description:

For more than 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.


We at Corporate Technology are more than employees: We are actively helping to make people’s 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 you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.

Job Description:


Are you ready to make a difference and create the Future of Automation?
We are looking for a motivated R&D Engineer who would like to be part of a dynamic team in Berkeley, California.
CT is seeking a member of its “Advanced Manufacturing Automation” Research Group of the vertical “Future of Automation” Technology Field in the Bay Area of San Francisco, California. In this research group, we shape the innovation roadmap towards the advanced manufacturing of the future; in collaboration with technology startups, leading academic institutions and government agencies. We are a team of automation-enthusiasts, innovators, engineers and scientists with deep technical expertise who are passionate about disruptive technologies in the areas of Machine Learning, Simulation, Engineering, Control, and Optimization. Our deliverables enable the successful transformation of the technology trends in Automation & Control into the business of the future for a multitude of customer products and services.
What are my responsibilities?
  • Manage scientific projects including the definition and execution of the technology strategy
  • Calculate/assess risk factors of a project. Anticipate potential problems and demonstrate sophisticated reasoning skills as well as creative, innovative and resourceful approaches to developing solutions to complex problems.
  • Provide technical supervision to achieve project goals.
  • Lead, and collaborate with others, both within and outside Siemens, to develop successful research proposals for external funding that align with Siemens strategic direction.
  • Scout and evaluate new automation & control technologies in collaboration with leading academic institutions and government agencies, by working with Siemens Business Units.
  • Seek advocacy from appropriate Siemens business units on potential use cases.
  • Manage cutting-edge research projects with the best universities and professors in the US. Co-develop with top academic partners the Automation Systems of the Future.
  • Educate and transfer technologies to Siemens business units for product implementations.
  • Assist in project acquisition and project funding
 What skills are needed to qualify for the job?
  • PhD required in Computer Science, Electrical Engineering or Mechanical Engineering with minimum 4 years of related experience.
  • Prior experience in one or more of the following: automation, optimization, embedded systems, robotics, AI, machine learning.
  • Experience designing and implementing software for robots. 
  • Experience with ROS and one or more machine learning tools (Caffe, Tensor Flow, Theano)
  • Knowledge about industrial IoT connectivity frameworks, such as DDS and OPC-UA

  • Knowledge about operating-system-level virtualization, and managing containerized workloads and services

  • Proven experience analyzing, designing, executing, modifying, and implementing research projects
  • Excellent interpersonal, communication and presentation skills in English required.
  • Experience working with international and multi-cultural teams.

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 http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#


 What skills/experience are preferred? 

  • Experience working with National Labs and/or Government Agencies.
  • Hands-on coding skills and ability to quickly prototype in C++. Further experience in Scripting languages such as Python is a plus.
  • Experience in designing swarms of cyber-physical systems (CPS)
  • Proven track record of preparing, managing and winning government proposals
  • Experience in cooperative  and distributed control



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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

Can't find what you are looking for?

Let's stay connected

Can't find what you are looking for?