Embedded Software Engineer, GrAI Matter Labs

Salary not provided

C++

Junior, Mid and Senior level

Paris

Artificial intelligence processors for robotics

Job no longer available

Artificial intelligence processors for robotics

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsRoboticsMachine Learning

Job no longer available

Salary not provided

C++

Junior, Mid and Senior level

Paris

21-100 employees

B2BArtificial IntelligenceEnterpriseAnalyticsRoboticsMachine Learning

Company mission

To bring the fastest edge AI for sensor analytics and machine learning to every device on the edge.

Job

Company

Role

Who you are

You have hands-on coding experience in
RTOS and/or bare-metal implementations
C/C++ for development, debugging, testing and performance analysis
With peripherals such as UART, SPI, I2C, GPIO, CSI/DSI, DMA
You have experience with
Lab instrumentation like oscilloscope, logic/protocol analyzers for debugging embedded systems at hardware level
Computer Vision/Audio processing and/or Machine Learning
You are tenacious, curious, and self-reliant, you like to search for solutions to technical problems yourself
Fluent in English and willingness to work in an international context
Ability to learn new languages and technologies
Excellent problem analysis skills, resourcefulness and troubleshooting aptitude
Attention to detail
Team player with good interpersonal skills

What the job involves

You will be responsible for run-time software development in the broadest sense, ranging from end-user applications to operating system kernels
You will cover drivers, neural networks, and neuromorphic processor firmware
Your software and firmware will be applied in the development of end-to-end applications of artificial intelligence SoCs, in various high-growth markets
Our run-time environments will also be used by customer teams to develop end-to-end applications running on our artificial intelligence SoCs

Our take

Artificial intelligence presents itself as an invaluable software innovation to bring robotic assistants to life, and the centralised cloud-based workflows of edge AI shows promise to bring robotics closer to this than ever before. However, existing edge AI processors are not sufficiently fast, limiting how they can behave naturally and be powered efficiently.

GrAI Matter Labs develops ultra-low latency and low power processing chips for edge AI, technology that the company claims will enable Life-Ready AI. Life-Ready is defined as AI-driven technology that can behave naturally and interact meaningfully, something that the company can apply to robotics, sensors, and other practical applications due to its processors’ efficiency.

Whilst various companies have already achieved life-ready AI using existing processors and supercomputers, these are too power-inefficient to be applied to cloud-based edge AI. GrAI Matter Labs on the other hand have developed a chip that is efficient and low-power enough to do so, providing its technology to both businesses and educational institutes to speed up the adoption of edge AI.

Freddie

Company Specialist at Welcome to the Jungle

Insights

-5% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (2 rounds)

Nov 2020

$14m

EARLY VC

Apr 2018

$15m

SERIES A

Total funding: $29m

Company HQ

Quinze-Vingts, Paris, France

Leadership

Atul Sinha

(Co-Founder)

Experience as Advisor to Management for Medical Robotics Technologies from 2014 to 2017. Co-founded GrAI Matter Labs as Advisor to Management in 2018.

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