Industrial Control/Automation Engineer, Signaloid

Salary not provided

JavaScript

Python

GraphQL

Linux

Tensorflow

C++

Ubuntu

Mid and Senior level

Remote from Europe, UK

Real time data quality analytics

Job no longer available

Real time data quality analytics

1-20 employees

B2BManufacturingSaaSAPIData AnalysisCloud Computing

Job no longer available

Salary not provided

JavaScript

Python

GraphQL

Linux

Tensorflow

C++

Ubuntu

Mid and Senior level

Remote from Europe, UK

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

Undergraduate or masters degree in computer engineering, computer science, or a related discipline
Familiarity with Snap containers
Familiarity with JavaScript and with node.js-based stacks
At least three years experience with C/C++
At least three years experience with Python
Deep knowledge of the Linux operating system and familiarity with Ubuntu Core
Familiarity with containerization tools in general
Previous experience with TensorFlow, both for model training as well as deployment/inference
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

Good working understanding of industrial control automation hardware (PLCs)
Good working understanding of control systems
Previous experience with the Bosch Rexroth ctrlX platform
Previous experience with TensorFlowLite

What the job involves

Be in charge of developing a commercial application for release on an industrial control automation platform
Be responsible for interfacing with developers of an internal REST/GraphQL cloud API and developers of an external API
Be responsible for the design and delivery of a user Interface as part of the app development
Be responsible for the design and implementation of machine learning methods on industrial data

Application process

All positions require you to write a one-page cover letter. We use this 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 a member of our People Development Team to discuss your CV
Applicants who pass the screening interview, regardless of the position you are interviewing for, will be given a real-world project to solve over the course of one week (or two weeks if there are currently employed in a full-time job). In exchange for your time, we give you two books relevant to the rest of the interview process and £500 worth of free credits on the Signaloid Cloud Developer Platform
Applicants who successfully complete the project are invited for a set of one-hour interviews with people from our core teams (there will be up to six such interviews) which will use the project you completed as a discussion point
In the final stage, applicants are invited for an on-site interview with members of the team in Cambridge

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

Company

Company benefits

Remote-First Team: We align our working hours to 09:00 – 17:00 GMT and we build on that shared availability to enable team cohesion
Opportunity to travel: The entire company gets together in person every three months somewhere in Europe.
Bonuses: We offer a yearly and bi-yearly bonus based on the delivery of company objectives and key results (OKRs)
Stock Options: We offer all new permanent team members attractive and meaningful stock options

Company HQ

Milton, UK

Leadership

Phillip Stanley-Marbell

(Founder, CEO & CTO)

Currently a Professor of Physical Computation at the University of CAmbridge. Former TFP Fellow & Researcher at the Massachusetts Institute of Technology (MIT).

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