Quality and Performance Automation Engineer, Signaloid

Salary not provided

Plus yearly bonus based on company's Objectives and Key Results (OKR) performance and bi-yearly bonus based on your project team's OKR performance, and stock options

AWS

Python

Bash

Linux

C++

Rust

Mid and Senior level

Remote in Canada, EU, UK, US

More information about location

Real time data quality analytics

Open for applications

Real time data quality analytics

1-20 employees

B2BManufacturingSaaSAPIData AnalysisCloud Computing

Open for applications

Salary not provided

Plus yearly bonus based on company's Objectives and Key Results (OKR) performance and bi-yearly bonus based on your project team's OKR performance, and stock options

AWS

Python

Bash

Linux

C++

Rust

Mid and Senior level

Remote in Canada, EU, UK, US

More information about location

1-20 employees

B2BManufacturingSaaSAPIData AnalysisCloud Computing

Company mission

To provide a computing platform that transparently tracks the quality of the billions of data values flowing through algorithms, in real time.

Job

Company

Role

Who you are

Self-motivation, with a proven track record providing technical leadership to your peers
A proven track record of working as an individual contributor delivering engineering implementations automating the performance and quality of software and hardware
An ability to communicate clearly and concisely while conveying empathy
An ability to take initiatives while actively working to understand the reality and constraints of your 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

Desirable

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

What the job involves

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
Within a year in this role, you can expect to:
Work more closely within the leadership team to set and deliver the long-term technology strategy of the company
Propose and lead new technology initiatives within the company
Have the opportunity to contribute to and explore other opportunities within Signaloid based on your demonstrated performance

Application process

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
Join the rest of the team several times each year for an in-person session somewhere in Europe

Our take

Autonomous system development is a rapidly growing market that is set to touch every aspect of life, however, the quality of data that powers autonomous systems (such as sensors and cameras) can be uncertain.

Signaloid’s computer hardware accelerator tracks uncertainty in data in real time and provides actionable insights as to how data quality degrades. The company’s cloud-based platform has engaged with customers across a wide range of markets and has partnered with Bosch Rexroth, bringing its hardware modules and cloud platform to the Rexroth ctrlX industrial automation platform.

The company is focused on further development, investigating possible target applications for its accelerator across the entire field of autonomous systems. SIgnaloid’s innovative system is well-positioned to lead the essential success of autonomous and AI systems around the world.

Steph

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

Company

Company benefits

Flexible Remote-First Work Environment
Stock Options Package for Full-Time Employees

Company values

Our motto is "We're all going to die": 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

Company HQ

Milton, UK

Articles

Making Autonomous Systems Safer and More Trustworthy Using Uncertainty-Tracking Computing and Sensing

Leadership

Phillip Stanley-Marbell

(CEO)

Current Enterprise Fellow at the Royal Academy of Engineering, and is a Full Professor (Chair of Physical Computation) at the University of Cambridge. Former TFP Fellow & Researcher at the Massachusetts Institute of Technology (MIT).

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