R&D Engineer: Embedded Processing
Machines With Vision Ltd (MWV) is an exciting engineering/AI product company focused on developing localisation-as-a-service for use on railways, self-driving cars and mobile robotics.
Based in Edinburgh, UK, the company has over the last 2.5 years developed its key technology from proof-of-concepts and prototypes, and is now looking to develop commercial products from this. The company is consequently expanding, based on funding from client projects, innovation awards and an investment round.
As part of this, MWV have secured a Scottish Enterprise R&D SMART award. This full-time role will focus on embedded hardware implementation of algorithms for motion estimation delivered as part of the R&D team over an initial 1 year period. Ongoing further R&D is expected to then follow from this.
Ideally this would suite an experienced, enthusiastic and pragmatic individual. There is still a predominate start-up culture in the company, so it would suit someone very much a self-starter and autonomous in their own right. There will be many open challenges and problems to overcome, but the potential opportunities and satisfaction are equally proportionate to these.
You will act in a crucial role on this project by understanding and translating our novel algorithms for vision based motion estimation into real-time working technology. You will report to the R&D team lead, and interact with other MWV product teams, as well as external hardware sub-contractors.
Evidence of good embedded development understanding/implementation of real-time vision systems.
Experience/interest in as many of these areas as possible: AI and machine learning, computer vision, robotics, control systems. Linux and/or MacOS development.
Ideally fluent in C and C++ and Python and with numerical and ML/CV libraries and other technologies such as CUDA and ROS.
A M.Eng, M.Sc. (or Ph.D.) in relevant numerate/computational discipline for embedded hardware/development.
Agile team and/or team lead exposure (or at least good knowledge of what’s involved).
Any relevant background in automotive and especially in autonomy would be extremely relevant.
Understanding/knowledge of event-based/neruromorphic systems advantageous but not essential.
Grow with us as we scale and make a difference in what we do to the future of transportation.
Competitive industry salary and share options.
Flexible working hours.
Central Edinburgh location.
Employer pension scheme.
How to apply
Please send your CV to us at firstname.lastname@example.org with the Job Reference in the subject title. It's very helpful as well if you can be clear about your existing rights to work in the UK (i.e. visa status).
If we think there's a match we'll get right back to you to organise a time for an initial chat at our office. Following that we would then hope to interview as soon as possible. The interview will usually take the form of half-a-day and will involve you investigating in advance a challenge we set you (this should take no more than 2-4 hours of your time beforehand). We will also quiz you on what you've done and what you would like to be doing. You'll also get every chance to ask us questions and to meet the rest of the team.
Personal data held with regard to your application will be deleted after the recruitment process, in line with our data protection policy.
Machines With Vision is an equal opportunities employer.
Starting February 2019