Senior Embedded Engineer - Netherlands (Remote)

Embedded Machine Learning Engineer

Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Mobile and Industrial IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm's diversification roadmap.

Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike.

Primary Responsibilities

Our embedded engineering team enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. We believe that machine learning will enable the valuable use of the 99% of sensor data that is currently discarded due to cost, bandwidth or power constraints. Our framework provides data ingestion, labeling, training, and deployment capabilities to accelerate developer success with ML on the edge.

• Expand the fleet of embedded edge devices that support machine learning

• Develop code that enables Edge Impulse Machine Learning onto embedded devices using modern software development and deployment tools

• Connect sensors (image, audio, motion) to Edge Impulse applications

• Develop algorithms for data / image processing

• Improve / develop tooling that connects an embedded system to a larger system

• Drive solutions forward with an ownership mindset working effectively both independently and as a member of a distributed team

Preferred Skills and Experience

• Experience as bringing creative solutions to challenging problems and working hands-on to build IoT / embedded ML solutions

• A minimum of 7 years of experience in embedded software development

• Proficient writing code in C/C++ and familiarity with Python, Typescript, shell, and other scripting languages.

• Proven experience delivering technical projects on embedded processors using an understanding of:

o Processor architecture and peripheral control o Embedded development tools (GCC, Make, CMake)

o Debugging tools

o Operating systems (like Embedded Linux and Android) targeted for embedded devices

• Experience with developing computer vision applications.

• Exposure to the following technologies would be useful

o Embedded Machine Learning

o GStreamer

o OpenCV

o Buildroot / Yocto distributionsLinux Kernel and/or Linux driver development

Academic Credentials

• Bachelor's degree or equivalent practical experience

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.