Signaloid is a computing platform that specializes in deterministic computation on probability distributions, enabling faster uncertainty quantification in AI, quantitative finance, and engineering applications like Monte Carlo simulations. The platform provides a cloud-based task execution API, integration with existing C/C++ code, and edge hardware modules, allowing for real-time, energy-efficient uncertainty quantification with minimal code changes. Developers can use Signaloid to run existing high-performance code more efficiently by augmenting it to handle probability distributions as regular data. With its technology, Signaloid aims to transform computational doubts into insights by offering cloud, on-premises, and edge-hardware solutions that dramatically speed up traditional computing tasks.
December 10, 2024
Signaloid is a computing platform that specializes in deterministic computation on probability distributions, enabling faster uncertainty quantification in AI, quantitative finance, and engineering applications like Monte Carlo simulations. The platform provides a cloud-based task execution API, integration with existing C/C++ code, and edge hardware modules, allowing for real-time, energy-efficient uncertainty quantification with minimal code changes. Developers can use Signaloid to run existing high-performance code more efficiently by augmenting it to handle probability distributions as regular data. With its technology, Signaloid aims to transform computational doubts into insights by offering cloud, on-premises, and edge-hardware solutions that dramatically speed up traditional computing tasks.
• Signaloid provides a computing platform that tracks data uncertainties dynamically during computations in execution workloads. • The platform uses deterministic computations on in-processor representations of probability distributions, enabling orders of magnitude speedup and lower implementation costs compared to Monte Carlo methods. • It is available as a cloud-based computing engine or on-premises and edge-hardware implementations for customers needing their on-site infrastructure. • The quickest way to engineer uncertainty quantification applications and run tasks faster, with workloads often running an order of magnitude faster than Monte-Carlo-based implementations on high-end AWS EC2 instances. • Our team consists of engineers with experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. • In this role, responsible for delivering and maintaining an automated framework for accurate quantification of quality and performance of Signaloid’s technologies. • Requires self-motivation, technical leadership, clear communication, and an understanding of constraints in the environment.
• Strong familiarity with Python. • Experience with C/C++. • Experience with CI/CD pipelines. • Experience with designing testing frameworks that ensure products meet customer requirements. • Familiarity with Linux and bash. • Experience with cloud computing services such as AWS. • Demonstrated ability to lead the delivery of a product. • A willingness to listen to people until they feel understood. • Honesty, empathy, and a willingness to see the world from the viewpoint of others. • Additional Desirable Attributes, Skills, and Experience: • Interest and experience with the challenges and benefits of non-traditional computer architectures. • Interest in mathematics and probability theory. • Experience with Go and Rust. • Demonstrable track record of exceptional oral, written, and graphic communication.
• A flexible remote-first work environment • Be part of an international team with the flexibility to choose where you live, as long as you are available during the working hours of 09:00 to 17:00 UK time. • Join the rest of the team several times each year for an in-person session somewhere in Europe. • Competitive compensation • Yearly bonus based on company's Objectives and Key Results (OKR) performance and bi-yearly bonus based on your project team's OKR performance. • Simple transparent compensation across the company, with four pay levels, in all roles, based on skill level: Contributor, Senior Contributor, Lead Contributor, and Principal Contributor. • All full-time employees receive attractive stock options package. • A driven but respectful environment • We never speak ill of others even if we differ in our viewpoints; we show up every day with a sense of urgency; we treat each other with respect as though each day were our last. • No isolated "projects": No person in the team works in isolation and a successful outcome for the thread of work you lead will inherently depend on getting help from (and helping) other members of the team.
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