Ambient Scientific is a fabless semiconductor company pioneering ultra-low power AI processors for edge and on-device AI applications. Their flagship product, the GPX10, is an ultra-low power AI microprocessor designed for always-on, battery-powered, embedded, and edge AI applications, offering superior AI throughput, ultra-low power consumption, compact form factor, and full programmability. The company developed breakthrough Digital Analog Compute technology called DigAn™, combining the scalability of digital with the efficiency of analog computing. Ambient Scientific provides a complete software development kit including an AI compiler, development libraries, and sample AI applications to enable rapid time-to-market. Their technology targets industries such as consumer electronics, healthcare, automotive, and industrial automation, aiming to democratize green AI by making AI power-efficient and accessible while reducing system costs and preserving data privacy.
AI ProcessorBattery-Powered AIDigital Analog ComputeEdge AIEmbedded AIGreen AIOn-Device AIUltra-Low Powerambientscientific.ai
Ambient Scientific
Ambient Scientific is a fabless semiconductor company pioneering ultra-low power AI processors for edge and on-device AI applications. Their flagship product, the GPX10, is an ultra-low power AI microprocessor designed for always-on, battery-powered, embedded, and edge AI applications, offering superior AI throughput, ultra-low power consumption, compact form factor, and full programmability. The company developed breakthrough Digital Analog Compute technology called DigAn™, combining the scalability of digital with the efficiency of analog computing. Ambient Scientific provides a complete software development kit including an AI compiler, development libraries, and sample AI applications to enable rapid time-to-market. Their technology targets industries such as consumer electronics, healthcare, automotive, and industrial automation, aiming to democratize green AI by making AI power-efficient and accessible while reducing system costs and preserving data privacy.
AI ProcessorBattery-Powered AIDigital Analog ComputeEdge AIEmbedded AIGreen AIOn-Device AIUltra-Low Powerambientscientific.ai
HQSanta Clara, US
Team Size84
Open Jobs11
Total Funding$10M
Latest Fundraise4 years ago
TL;DR
What they do: Fabless semiconductor developer of ultra-low-power, fully programmable AI processors for edge/on-device applications
Flagship product: GPX10 AI microprocessor (DigAn™ architecture) with companion SDK
Founded: 2018
Headquarters: Santa Clara, California, USA
Employees: 84
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Funding Track Record
Seed- 2021-12-31
10000000
Last disclosed funding date and total from company profile data
Founders
What we do
Join the Team
Data Scientist
On-SiteBengaluru, IN
On-Site • Bengaluru, IN
Role & responsibilities :-
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Product Designer
ContractSan Francisco, US
Contract • San Francisco, US
Frontend Developer
Full-timeCambridge, GB
Full-time • Cambridge, GB
Mobile Developer
Part-timeRotterdam, NL
Part-time • Rotterdam, NL
Frontend Developer
Full-timeMunich, DE
Full-time • Munich, DE
Frontend Developer
ContractJerusalem
Contract • Jerusalem
Machine Learning Engineer
Full-timeAmsterdam, NL
Full-time • Amsterdam, NL
work closely with your business to identify issues and use data to propose solutions for effective decision making
build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organisation
use machine learning tools and statistical techniques to produce solutions to problems
test data mining models to select the most appropriate ones for use on a project
maintain clear and coherent communication, both verbal and written, to understand data needs and report results
create clear reports that tell compelling stories about how customers or clients work with the business
assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders.
horizon scan to stay up to date with the latest technology, techniques, and methods
conduct research from which you'll develop prototypes and proof of concepts
look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)
stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
Preferred candidate profile :-
Data science is a collaborative area, with many people sharing their methodologies and insights, so you should be prepared to share your ideas and solutions with your wider team.
Roles are usually office-based, and a large proportion of your time will be spent at your desk. You'll be encouraged to learn as much about the business as you can to help identify solutions to problems.
Skills
Proven experience as a Data Scientist (ignore if fresher)
Experience in data mining, collection and cleaning.
Understanding of Feature Engineering, Statistical Engineering & EDA.
Understanding of machine-learning concepts (Regression and Classification Algorithms) & Deep Learning Concepts (ANN, CNN, GRU, RNN, LSTM) Opencv.
Knowledge on Frameworks like Tensorflow, Caffe, Pytorch, Tflite.
Strong Knowledge & Grasp of Python and C.
Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
