Senior​/Principal - Emerging and Advanced Computing Technologies, Onsite

Senior/Principal - Emerging and Advanced Computing Technologies, Onsite

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas.

We are seeking an experimentalist with a demonstrated publication record or relevant experience to join the Emerging Computing Hardware team. You will contribute to research areas that address meaningful problems and applications in advanced computing technologies such as quantum computing, neuromorphic computing, machine learning, artificial intelligence, and other emerging methods. You will help discover codesigned solutions where materials and integrated systems research is motivated by their ability to enable novel and scalable solutions.

You will be part of a broader Advanced Computing program in the DOE National Laboratories complex and will engage with researchers and teams across government and industry.

• Develop an understanding of device dynamics, small circuits based on those devices, or architectures incorporating a range of devices.
• Develop and implement novel control systems and measurements in microelectronic and/or quantum devices.
• Work with hardware and software vendors to design and implement experimental setups for emerging computing and sensing applications.
• Collaborate within Sandia and across the external R&D community, including academic and industry partners, in Quantum Information Science (QIS) and other emerging computing fields.
• Work onsite as required.

$117,500 – $235,700

• Bachelor’s degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of education and experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
• Ability to acquire and maintain a DOE Q‑level security clearance.

• Graduate degree in Physics or a highly related field with an independent research project required (e.g., thesis or dissertation).
• Experience preparing research for dissemination through presentations at national conferences and peer‑reviewed publications in top journals.
• Demonstrated leadership abilities for projects and teams, working in loosely defined areas with minimal direction while maintaining vision for the overall mission.
• Strong verbal and written communication skills, and ability to work effectively in multidisciplinary teams.
• Experience or interest in using artificial‑intelligence/machine‑learning methods and developing approaches to leverage emerging computing techniques (AI/ML, quantum, analog, etc.).
• PhD in Physics, Materials Science, Electrical Engineering, Chemistry, or a relevant science or engineering field.
• Record of research as demonstrated by publications in peer‑reviewed journals, presentations at scientific conferences, or high‑impact program deliverables.
• Experience working on interdisciplinary teams spanning materials and devices in emerging and advanced computing research such as quantum information systems, sensors, neuromorphic computing, analog computing, edge computing, and related fields.
• Experimental work in time‑domain and spectroscopic measurements such as magnetic resonance, high frequency (>microwave), and IV/CV.
• Experience with developing and running complex science and engineering simulation codes on high‑performance computing clusters.
• Interest in impacting applications and customers in support of DOE missions.

The Emerging Computing Hardware department conducts cutting‑edge experimental solid‑state device research at nanometer and atomic scales, as well as in the quantum mechanical regime, to develop technologies with novel capabilities and performance. Core capabilities include materials synthesis & analysis, solid‑state device fabrication and characterization, low temperature measurements, quantum sensing, and quantum information science and technology. The department leverages strong relationships with the Microsystems Engineering Sciences and Applications…