teamtailor

Embedded Machine Learning Engineer - Electronics and Software

42 Technology

Cambourne, GBR

Mid

Discovered 2 weeks ago

linuxopencvpytorchtensorflow

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Knowledge and Skills:

Essential:
Demonstrable experience working with customers and clients to manage projects from procurement to delivery, with excellent verbal and written communication skills and the ability to present technical subjects persuasively to both technical and non-technical audiences.
Demonstrable experience of firmware development for embedded products involving machine learning and/or machine vision, including an understanding of the processes and tools needed to develop maintainable high-quality embedded firmware.
Experience working with the following:
Machine learning/vision platforms and frameworks such as TensorFlow, TensorFlow Lite, OpenCV and PyTorch.
A range of microcontroller/microprocessor types including Arm-based devices.
Experience with test-driven development processes, such as unit testing, continuous integration, and regression testing, with an understanding of the appropriate use of third-party software.
Excellent interpersonal skills with the ability to engage with colleagues and clients at all levels, a flexible, proactive and innovative approach to work and good attention to detail with an imaginative approach to problem solving.
The ability to work independently with minimal supervision.
Desirable:
Experience using NVIDIA Jetson or similar AI computing platforms.
Wireless communications such as Bluetooth, WLAN, cellular, low-power radio.
Wired communications such as CAN, RS232, RS485, SPI and I2C.
Real-time signal conditioning and filtering.
Low-power or battery-powered systems.
Experience of medical device development and the IEC 62304 software life cycle for medical products.
Knowledge of encryption and security for embedded systems.
Broad knowledge of electronic systems for control, communications, sensing, and user interaction.
Development of systems on embedded Linux platforms.

Qualifications

Demonstrable experience working with customers and clients to manage projects from procurement to delivery, with excellent verbal and written communication skills and the ability to present technical subjects persuasively to both technical and non-technical audiences.
Demonstrable experience of firmware development for embedded products involving machine learning and/or machine vision, including an understanding of the processes and tools needed to develop maintainable high-quality embedded firmware.
Machine learning/vision platforms and frameworks such as TensorFlow, TensorFlow Lite, OpenCV and PyTorch.
A range of microcontroller/microprocessor types including Arm-based devices.
Experience with test-driven development processes, such as unit testing, continuous integration, and regression testing, with an understanding of the appropriate use of third-party software.
Excellent interpersonal skills with the ability to engage with colleagues and clients at all levels, a flexible, proactive and innovative approach to work and good attention to detail with an imaginative approach to problem solving.
The ability to work independently with minimal supervision.
Experience using NVIDIA Jetson or similar AI computing platforms.
Wireless communications such as Bluetooth, WLAN, cellular, low-power radio.
Wired communications such as CAN, RS232, RS485, SPI and I2C.
Real-time signal conditioning and filtering.
Low-power or battery-powered systems.
Experience of medical device development and the IEC 62304 software life cycle for medical products.
Knowledge of encryption and security for embedded systems.
Broad knowledge of electronic systems for control, communications, sensing, and user interaction.
Development of systems on embedded Linux platforms.

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