Software - Platform Engineer
About the Job
- Designs and develops cloud-native microservice components on Kubernetes
- Builds monitoring and logging platforms for cloud-native applications
- Designs and develops Software Development Kit (SDK) of Furiosa NPUs
- Develops high-performance runtime system handling DNN inference requests
- Develops ML production softwares to manage machine learning lifecycles
- Develops internal tools and services that improve teams' productivity
- Writes API references and development documents
- HW operation tools for hyper scale datacenter, e.g. monitoring, dashboard, workbench, job scheduling server, HW resource management system, and others.
- Work on various operation tools, such as chip monitoring systems and multi-machine resource management and scheduling systems.
Minimum Qualifications
- Bachelor’s degree in Computer Science or a equivalent work experience
- Excellent communication skills for requirement gathering and clarification
- 3+ years strong programming skills in one or more of the following languages - Rust, Python, Golang, C++
Preferred Qualifications
- 2+ years experience developing cloud-native applications with Kubernetes
- 2+ years of experience building and managing microservices in AWS, Azure, GCP or Kubernetes
- Experience with ML/DNN frameworks, e.g., Tensorflow, Pytorch, Apache MXNet
- Knowledge of testing and CI/CD pipeline, e.g., Jenkins, and others
- Experience developing high-performance and highly concurrent server applications
- Experience with RDBMS, NoSQL systems and message queuing systems, such as Kafka, AWS SQS
- Experience developing production-grade softwares for customers
- Experiences in authentication & authorization methodologies, e.g., OpenID, JWT, OAuth, 802.1X, and others
- Understanding of zero trust networks
