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.
In this role, you will be responsible for delivering and maintaining an automated framework that allows for the accurate quantification of the quality and performance of Signaloid's rapidly evolving technologies.
To succeed in this role, you will be someone who has the following attributes:
Within a year in this role, you can expect to:
Additional Desirable Attributes, Skills, and Experience:
A flexible remote-first work environment
Competitive compensation
A driven but respectful environment
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At Signaloid, we're on the lookout for a Quality and Performance Automation Engineer who is ready to dive into the exciting world of uncertainty quantification technology. We're famous for our cutting-edge computing platform that dramatically enhances the speed and efficacy of complex computations related to data uncertainties, outpacing traditional methods by a significant margin. As part of our innovative team, you'll be tasked with developing and maintaining an automated framework that ensures our products meet the highest standards of quality and performance. We take pride in our collaborative, remote-first work culture, allowing you the freedom to work from anywhere while connecting with an international team. In this role, you'll leverage your expertise in Python, C/C++, and CI/CD pipelines to design testing frameworks and push technology initiatives forward. You're encouraged to be proactive, articulate, and adaptable, communicating clearly while gaining insights into our workspace dynamics. Over time, you'll work hand-in-hand with senior leaders to shape our long-term technology strategy, contributing to a culture that values respect, urgency, and collaboration. If you’re excited about taking a significant role in accelerating the success of cutting-edge technologies in the field of engineering and finance, we want to hear from you! Join us at Signaloid and explore a unique opportunity to make a meaningful impact in the industry while enjoying a balanced work life.
Signaloid offers a Compute Engine that runs financial modeling applications . The company is headquartered in the United Kingdom.
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