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:
- Be in charge of aligning the development and product release activities of one or more teams.
- Be responsible for helping engineering teams identify and eliminate roadblocks in order to stay on track with their delivery of objectives and key results.
- Be responsible for summarizing status and dependencies between deliverables.
- Be responsible for proactively helping teams identify misalignments between their activities and company-wide objectives.
After a year in this role, you will have the opportunity to:
- Work closely with the leadership team in defining a delivery strategy and coordinating long-term engineering deliverables.
- Lead new strategic initiatives for improving the operational efficiency of engineering teams within Signaloid.
- Lead and mentor other engineering project coordinators across cross-functional roles.
- Undergraduate or masters degree in computer engineering, computer science, or a related discipline.
- Familiarity with C/C++, Python, Go, and Javascript at a level sufficient to judge the difficulty of implementing a given task.
- Previous experience coordinating engineering projects with a rigorous development cycle.
- Previous experience with Git and GitHub and a deep knowledge of the project management tools provided by GitHub.
- Willingness to explore new modes of working as well as the courage to suggest new ideas.
- 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 Skills and Experience:
- Clear and concise communication.
- Detailed knowledge of Slack and setting up Slack integrations and automations.
- Previous experience coordinating projects using a combination of Slack and GitHub.
- Prior experience coordinating projects in a fully-remote setting.
- Demonstrable time management skills.
Our Recruiting Procedure
- All positions require you to write a brief cover letter that should be no more than one page long. The more concise the better. You can also substitute the cover letter for a snippet of code that will run on the signaloid.io platform; be creative! We use the cover letter / code snippet to screen for communication skills, as clear communication is essential in a remote working environment.
- Applicants who pass the cover letter screening receive an initial 15-minute Zoom screening call with the CEO/CTO.
- Applicants who pass the screening interview will be given a coding project that can be solved using the Free Tier of Signaloid's Signaloid Cloud Developer Platform. We will also provide you with additional free credits on the Signaloid Cloud Developer Platform. The coding exercise will be simple enough to complete in a few hours. You will however have a time window of one week or two weeks (your choice) to complete the coding exercise. You are encouraged to make your implementation open source on GitHub.
- Applicants who successfully complete the coding exercise are invited for a set of interviews with people from our core teams (there will be up to six interviewers). The interviewers will use the project you completed as a discussion point.
- In the final stage, applicants are invited for an on-site (or "virtual on-site") day with members of the team you are interviewing to join. During this day, we will work with you on a hands-on simulation of a real working day solving a task relevant to the position you are applying for, working with your potential future colleagues.
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