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

In this role, you will lead RTL design and FPGA prototyping of edge hardware and cloud-FPGA implementations of Signaloid's compute platform.

Within the first year in this role, you will:

• Be responsible for improving the performance of existing firmware and RTL as well as architecture and design of new firmware and RTL implementations of key system components.
• Be responsible for coordinating with the RTL Implementation team and Compiler Tools Implementation teams to achieve company-wide objectives and key results related to performance, reliability, and implementation quality of Signaloid's processors and computing platforms.
• Be responsible for implementing automated tests and setting up self-hosted continuous integration (CI) runners integrated with GitHub, for both EDA/CAD tools as well as for prototype FPGA-based hardware.
• Contribute to open-source hardware and open-source software tools implementing subsets of Signaloid's technology, such as the Signaloid C0-microSD platform, which Signaloid makes available to support its developer ecosystem.

After a year in this role, you will have the opportunity to:

• Lead new architectural design work across Signaloid's compute architectures.
• Lead the implementation of your own architectural ideas in collaboration with a larger team.
• Contribute to the strategic direction of Signaloid's computing platforms.
• Expand your role to encompass other areas in which you have demonstrated exceptional competence.