Robotics Hardware Industrialization Engineer, DeepMind
corporatefare_ DeepMind place Mountain View, CA, USA
Minimum qualifications:
Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field, or equivalent practical experience.
6 years in experience in hardware design, fleet maintenance, robotics service, or high-tech field engineering.
Experience in design engineering and use of associated CAD tools (OnShape, SolidWorks or similar 3D parametric CAD packages).
Experience writing technical manuals, SOPs, or maintenance logs for a wider team.
Preferred qualifications:
Comfortable working in a lab/warehouse setting and managing physical assets, driving for excellence in a 5S methodology setting.
Passion for robotics.
A mechanical intuition for identifying root causes of hardware failure in the field.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The Embodied Systems team is the new hardware-centric group within Deepmind Robotics. Our mission is to accelerate AI research in the physical domain through the world's most advanced robotics systems. You will be joining on the ground floor of our hardware operations, meaning your fingerprints will be on the processes, products and relationships that we forge.
As a mechanically-capable Industrialization Engineer, you will join our robotic Engineering Operations team within Deepmind. The Industrialization Engineer bridges the gap between robotics research goal and scalable data collection in a laboratory environment. You will transform advanced research testing concepts into actionable designs and processes for our data collection humanoid laboratories. You will require collaboration with Research and Development, facilities, supply chain, and engineering teams to optimize robot operations, reduce costs, and optimize system reliability.
You will be the first point of contact for any test cell design-related topics, and an authority on process control and DFM (Design For Manufacture)/DFX (Design For excellence) approaches.
You will work with the engineering and development teams to define the functional hardware and processes that lead to a highly productive and scalable laboratory environment where a multitude of humanoid robots are operating, collecting data for our internal research team.
Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $212000 - $231000 (USD) + 15% bonus target
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Work with the Research, Engineering, Facilities and Safety teams, concept-out testing hardware, systems, environments and fixtures to enable effective testing and reliable data-collection.
Lead the transition of a research goal into an industrialized concept that can be proto@typed and manufactured in a testing laboratory environment.
Create detailed work instructions, standard operating procedures (SOPs), and bill of materials (BOM) for testing and development systems and structures.
Design and implement assembly fixtures, calibration rigs, and automated test equipment for our data collection and hardware development laboratories.
Partner with vendors to resolve technical challenges and extended workforce testing/development/fabrication needs.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
