Signaloid provides a computing platform that tracks data uncertainties dynamically and throughout computations in execution workloads. Our computing platform uses deterministic computations on in-processor representations of probability distributions, to enable orders of magnitude speedup and lower implementation cost for computing tasks traditionally solved using Monte Carlo methods. The platform is available as a cloud-based computing engine that lets you run tasks via a cloud-based task execution API. We also provide on-premises and edge-hardware implementations of our computing platform for customers who want to use their existing on-site infrastructure and for use cases requiring operation without connection to the cloud.
Our platform is the most cost-effective way to engineer uncertainty quantification applications and is also the fastest way to run uncertainty quantification tasks, for key use cases. Workloads ranging from options pricing and portfolio modeling in finance, to uncertainty quantification for materials modeling and photonics simulation in engineering, often run an order of magnitude or more faster, compared to Monte-Carlo-based implementations running on high-end AWS EC2 instances.
Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out the Signaloid uncertainty-tracking computing platform by signing up for free for our developer platform, at https://get.signaloid.io.
Role Description
Within the first year in this role, you will:
* Lead the implementation of extensions to the Signaloid Cloud Compute Engine backend.
* Be responsible for extending the testing and QA infrastructure of the Signaloid Cloud Compute Engine backend.
* Be responsible for taking the initiative to identify whether the quality level of your implementation meets both explicit and implicit design and quality objectives of the team.
* Be responsible for delivering new functionality and tests on a regular release schedule and to work with other parts of the engineering and commercial teams.
* Design, implement, and document improvements to the Signaloid Cloud Compute Engine API.
* Contribute to improving operational procedures in the engineering team.
After a year in this role, you can expect to:
* Contribute to and lead the definition of the direction of the evolution of key parts of the Signaloid Cloud platform, either as an individual contributor or as a team lead.
* Gain increased autonomy and responsibility for strategy within the engineering team.
* Have the opportunity, based on your demonstrated performance, to take on new challenges within Signaloid
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