Embedded Software Engineer - Fulham - Up to £40,000
Recruiter
Real Time Recruitment
Listed on
7th March 2019
Location
Rn Fulhamrn
Type
Permanent
This job has now expired please search on the home page to find live IT Jobs.
Real Time Recruitment Solutions https://www.rtrs.co.uk Embedded Software Engineer - Fulham - Up to £40,000As an Embedded Software Engineer, you will be working within the development team that produces our world class sensing products based on our FlatMesh communication platform and our new long range GeoWAN platform. These systems have a battery life of up to 15 years , so low power design philosophy is a key part of the role. You will also work on embedded Linux systems and therefore have a good working knowledge of Linux, configuring and scripting.
This organisation prides itself on reliable, robust communication systems and class leading sensing equipment to monitor critical infrastructure and geotechnical projects.
You will take responsibility for developing reliable firmware components for the system, interrogating new sensors and systems, as well as enhancing our communication platform with mobile technologies such as 3G / HSPA and 4G / LTE systems, camera devices and more.
In addition, electronic knowledge, EMC skills and an appreciation of RF techniques will be advantageous.
Essential Skills and ExpertiseFirst class degree or upper 2nd in Engineering, Electronics, Mathematics, Computer Science, or equivalent background.Exposure to working with bare metal and RTOS software development using C/C++.Python programming skillsKnowledge of ARM / Cortex processors.Communication interfaces such as CAN, Ethernet, SPI, I2C, UARTs and USB.Version Control e.g. SVN, Mercurial or GIT.Desirable
Low power, low latency IoT techniques.Understanding of configuring Linux systems for unattended remote operations.Sensor Fusion techniques.Analytical Software e.g. MATLAB, Simulink for processing time series data.Knowledge of wireless communication protocols, such as Zigbee, Bluetooth, BLE, WiFi.Knowledge of image processing.Knowledge of deploying complex algorithms in embedded devices, possibly including DSP and Machine Learning / AI algorithms.Electronic hardware design, reading schematics, device datasheets.Please send CVs to [email protected] ALONG WITH YOUR SALARY EXPECTATIONS AND A BRIEF SYNOPSIS OF YOUR CURRENT WORK SITUATION.
Embedded/Firmware
2019-03-06
