Embedded Systems and Software Graduate

Craft Prospect

Graduate Position Fixed Term Glasgow (or possibly Edinburgh), UK

Uploaded 13 Apr 2019

Job Description

Craft Prospect is looking to expand its team. We are looking for a passionate engineer to support us to realise space projects from concept to delivery. This role will be in software for embedded systems, ranging from System on Chip (SoC) hosted application level software in high level languages down to hardware interaction. You will be working with systems engineers and under the expertise of existing embedded systems and software engineers to achieve this. As a small agile company the focus will be on rapid prototyping before implementation on flight ready hardware. 

Responsibilities 

  • Support the development of prototype SoC based computing systems
  • Integration of prototype SoC configurations within test set-ups
  • Implementation of pre-existing deep learning algorithms within prototype
  • Support in the development of machine learning algorithms when needed
  • Documentation of the development process
  • Ensuring work packages are managed to agreed timeframes and budgets

Term : 18 mo fixed, 100% FTE (80% Tu-Fr possible)

Successful completion is expected to lead to a permanent role with associated benefits such as membership of company share pool. Craft Prospect offer a generous pension and benefits scheme, including a personal development budget. For non-local applicants a small relocation budget may be available. Dependent on circumstances, a flexible start date, job share or 100% FTE position may be discussed.

Person Specification

Requirements

  • Able to work in UK, from May 2019
  • Computer science, electronic engineering or equivalent graduate
  • Ability to work autonomously under direction from more senior engineers 
  • Experience with microcontroller, and mid to low level driver development 
  • Experience developing in C and Python Working in Linux environment 

Preferred

  • Working knowledge of autonomous systems, and in particular deep learning 
  • Working knowledge of SoC development
  • Experience with VHDL

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