Join the team

As part of our advanced specifications and applied research, we’re selecting for a rather specific bent of mission-focused research scientists, engineers, and applied generalists who’ve thought seriously about complex, ultra-efficient information processing for hard-physics modalities and numerical advantages.

Our team profile will be composed of some of the best researchers and engineers we know of in and across groups like discrete and continuous or applied mathematics, computer architecture and hardware-software codesign, applied physics and nanoscale methods, precision- and atomic-scale optics, (bio)medical physics, and advanced materials and integration.

We hold durable IP foundations across our architectures and are working toward accelerated timelines with near-term deployment targets.

We take significant ownership over our critical-path architecture capabilities. This means interfacing at both short-range and long-range intensities with abstruse problem sets within our technology approaches, and with the otherwise-introduced constraints that are concomitant to being able to pursue and sustain pure and nascent approaches. This also includes macro-strategy concerning hard, novel integrated system design related to SLM’s high-performance ultra-precision device methods.

For the team and culture we are building, we think of this way of interfacing as having facility for abstraction, in either or a combination of these ways:

• Basal acuity • Having a generally fair capacity for continuous and polyglottal pattern matching; the ability to adapt information sparsity and manage for tradeoffs at different structural levels; a kind of stubborn, x-ray temperament or keenness for peering through noise.
• Higher-order awareness • A sort of proclivity for deconstructing the make-up of a complex structure so that it is more amenable to engineering; some disposition for switching across, or between, abstraction layers.
• Staying intuition • In both the people we look for and the problems we select for, we often like to find out-of-distribution technique. Anomalies tend to be especially high-information containers for hidden or latent structure. Activating these selections often opens entry into nonobvious or previously inaccessible, structurally rich regions for both theory and utility space. Where this latter kind of space is concerned, we like to go the distance and apply multi-timeline thinking and high-leverage approaches into our research, design, and application heuristics.

We maintain tightly closed feedback loops between our R&D priorities, and focus on efficient velocity and implementation between our systems and capability interests.

This translates to how we focus on effectively structuring and carrying out the hard-input operating models necessary for executing each of our architectures within specified timelines and parameters.

We think of our research, engineering, and operating principles along these dimensions: