Embedded Software Engineer, GrAI Matter Labs
Artificial intelligence processors for robotics
Job no longer available
Artificial intelligence processors for robotics
21-100 employees
Job no longer available
21-100 employees
Company mission
To bring the fastest edge AI for sensor analytics and machine learning to every device on the edge.
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
Otta's take
Theo Margolius
COO of Otta
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.
Insights
-5% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2020
$14m
EARLY VC
Apr 2018
$15m
SERIES A
Total funding: $29m
Company HQ
Quinze-Vingts, Paris, France
Articles
Founders
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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