The Avalanche Computing Taiwan Inc. is funded by Nvidia USA alumni in Santa Clara, CA, USA, 2018. At the end of 2018, the core team was built in Taipei, Taiwan. After 1 year of collaboration with many enterprises, Avalanche Computing Taiwan Inc. is registered in Feb 2020. In the 1st month, we won the Airbus global top-10 innovation startup in March, joined NVIDIA global inception program, and join NTUTEC.
The barrier to entry in AI is lower than ever before because of the open-source software including a number of frameworks (tensorflow, keras, pytorch, et., al.). However, to develop the specific AI application, the company engineers need to build the data pipeline, computing environment, and AI models. Those processes are still difficult for traditional companies and SMEs.
In order to overcome the challenges above, we provide the hyper-scale computing technique for doing deep learning. The hyper-scale computing framework is a deep-tech for computing technology. Through our hyper-scale technology, the clients can focus on innovation and then we do rest (for example, we provide hyper-scale architecture, multi-GPUs, and distributed model training, and hyper-scale inference on 10000+ edge devices). Then, our clients just need to put their AI models into our SaaS AI development tool in mins.
We also won several awards:
Important Expos:
Our office is now in the follows:
Now, the SaaS product is launched in the U.S.
If you are interested in our position, please send your CV to: [email protected]
We provide performance-optimized AI development and deployment tool to data scientists, called hAIsten AI. It is a low-code tool to speed up your AI development with clicks-through. We call our core technique, Hyper-scale computing, which leverages the distributed and multip-GPUs techniques for saving time and money for your AI applications.
The product of Avalanche Computing is called hAIsten AI in the US. The detailed functions are as follows:
1) Hyper-scale training computing engine ( >1 GPUs on each machine)
2) Hyper-scale inference engine (from 1 edge device to 100000+ edge devices)
3) Smart labelling (AI empowered data annotation tool)
4) Edge computing platform (CES 2023)
Vision
is to be the best advanced and hyper-scale computing technology company for intelligence application providers and traditional industries, and in collaboration with our clients, to build a strong competitive power in the intelligence application industry.
To achieve our vision, we must have the following advantages:
1) be a computing technology leader, competitive with pure hardware or software solutions
2) be the top-tier computing technology, data analysis, solution architector, and AI experts
3) be the most trusted, service-oriented, and maximum-total-values in intelligence development software end-to-end solution inventor
Mission
is to provide the best AI development tool and be the leader, and trusted computing technology provider in the intelligence application industry (for medical, manufacturing, et., al) for the future.
We offer (depending on team type, funding team, core team, or full-time employee):
Diverse and dynamic work environment (smart office)
刷題或者競賽可以增進您的實力,若沒有長期閱讀論文、研究、自我要求的習慣,一樣是不會有效,所以請展現真實的您。
(我們面對的問題都是目前國際上難解的難題,沒有參考解答)
我們需要可以長期任職,至少完成完整的 Rotate Program 設計的人選,短期的人員或者超過資格 (Over qualify) 的人員我們雖想一起合作,但仍然以可以完整走完Rotate Program的人選為優先,作為長期培育之人才投資。
碩博士級學生優先,需指導教授同意(我們一定會私下找您的老闆/教授聊聊,請務必和教授先作好生涯之規劃)。
The position in cakeresume is for TAIWAN ONLY. Do not submit for the position in Here (go LinkedIn).
Before you apply for any position here, please check your location and VISA status.
本公司近期建立台灣之研發團隊,中長期返美持續拓展 Hyper-Scale Computing 之最佳化技術予智慧應用之廠商。
實質上獲得是薪水,學習到團隊合作以及在新創公司的待人處事。
本公司的的人員之技能與許多知識採用自我學習,若工作需求上需要可以申請課程補助、活動補助。
公司也有訂閱線上課程以及核心團隊己取得之授課資源 (例如:GCP USA, NVIDIA Santa Clara 之課程資源)
原則上:
每日上午 9:30-10:30之間到公司或者remote work,按台灣公司勞基法準則,需要做打卡的一個動作 (使用軟體)。
每日工時以 8小時為基準。例如:9:30 AM 抵遠公司,則在7:00 PM (中間午休1.5小時)。
實務上,Agile的工作習慣以及責任制的精神。
我們的公司文化有10個Key,可實際在面談中感覺,你是否符合10個重要的文化特質。
(我們不期望因為要符合面談,而強加去更動您的履歷設計。我們想看到的是最真實的您。)
視情況而定,原則上按照法定工時,每日8小時,每週40小時為限。
本公司文化延續在矽谷工作時之習慣,不做Micro Management,加班需要有理由,按照工作緩急輕重應該作個人化管理。
請務必,盡量在時間內完成工作。