Jobs in the United States

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Customer Service Representative - UniFirst
UniFirst Corporation
MI
Perform basic data entry and other administrative duties.
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Residential Supervisor II
MassCareers
MA
*Flexibility required to meet the needs of the program; Must work at least one early evening shift per week and at least one weekend day per month
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Registered Nurse (Day shift, 36hrs/week) - TJUH, Asplundh Infusion - Willow Grove, PA
Thomas Jefferson University Hospitals, Inc.
Montgomery County, PA
Active RN license required in state of practice
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Registered Nurse - ICU/CCU (Per Diem, Rotating) Bucks-Jefferson
Jefferson Health Northeast
Bucks County, PA
Uses information technology to communicate, manage knowledge, mitigate error, and support ethical decision making. Uses data to monitor the outcomes of care processes and uses improvement…
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Senior Task Manager
DarkStar Intelligence LLC
Bethesda, MD
- $130,000 to $165,000 USD / year
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RN FT Night Moss Magee Rehab DOYLESTOWN
Albert Einstein Medical Center
Bucks County, PA
Active RN license required in state of practice
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Avanos Medical
WA
Thoroughly understand and demonstrate effective use of all approved clinical data/studies
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Albert Einstein Medical Center
Montgomery County, PA
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GME Program Coordinator
The University Of Nebraska Medical Center
Omaha, NE
- $23.17 to $34.76 USD / hour
Demonstrates working/intermediate level competency in data management of program.
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Albert Einstein Medical Center
Northeast Philadelphia, PA
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Duke Careers
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Develop structural tests and post-process the results to establish allowable strength data.
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Strive Health
Denver, CO
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Sr. Digital Product Manager
Strive Health
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Sr. Digital Product Manager
Strive Health
Denver, CO
- $108,500 to $136,000 USD / year
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Strategic & Financial Acumen - translates financial data into business strategy and executive-level decision-making.
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Collect accurate session data and document progress
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BRITE ABA
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Collect accurate session data and complete documentation on time

Google

Principal Engineer, AI Research and Development

Mountain View, CA, United States

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Job details

Posting language: English

Original job description

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.
15 years of software engineering or applied research experience building, optimizing, and operating large-scale distributed systems in production.
3 years of experience building AI applications, models, or infrastructure.

Preferred qualifications:

PhD in Computer Science or related technical field. Track record of technical leadership delivering novel research concepts, algorithms, or systems architectures into production software or commercial platforms.
20 years of combined experience across systems research, infrastructure engineering, and commercial product delivery.
Experience establishing multi-organizational technical strategy across multidisciplinary teams, including research (e.g. DeepMind), core engineering, and product management.
Ability to engage with research and engineering teams and translate ambiguous infrastructure, security, and production pain points into foundational systems solutions.
Recognized authority in research community with significant contributions to open-source ecosystems, standards, or industry consortia.

As a Principal Engineer for AI and Infrastructure Research and Development, you will bring deep systems accuracy to agent scale, connecting cutting-edge model research to large-scale production platforms. In this role, you will define the technical strategy bridging systems infrastructure and agent architectures, such as model inference acceleration, simulation-driven infrastructure optimization, and end-to-end platform efficiency. You will establish the engineering foundations and shared frameworks that enable internal organizations to deploy autonomous agents safely, robustly, and at hyperscale. Additionally, you will serve as an executive technical advisor and external thought leader, engaging C-suite customers on advanced architecture, delivering keynote perspectives, and shaping industry and governance standards while driving strategic alignment across DeepMind, Core, and Google Cloud. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Define the multi-year architectural outlook and technical strategy for how AI and Infrastructure Research and Development incubates, prototypes and productionizes agent platforms, inference efficiency, and AI systems infrastructure.
Drive inference optimization through simulation-driven infrastructure modeling, acceleration, and hardware-software co-design.
Architect shared evaluation harnesses, developer frameworks, multi-tenant standards, and safety rails to lead the AI-native engineering transformation across the organization.
Partner with DeepMind research and modeling teams to align frontier model requirements with next-generation AI and Cloud infrastructure.
Lead end-to-end incubation programs, steering experimental systems through rigorous benchmarking, production hardening, and multi-tenant operational deployment.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland.

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Skills

Research
Computer science
Leadership
Industrial software
Google Cloud

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Jobs in the United States