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昆山云景网络科技有限公司 Tech Stack

AI data processing and MLOps platform for autonomous systems

Software Development 苏州市, 江苏省 ~2 employees

Yunscape is a 2-person engineering operation in Suzhou building AI infrastructure for real-time data processing and model optimization. The tech stack—Python, PyTorch, TensorFlow, YOLO, ROS 2, Kafka, Apache Spark, Kubernetes—signals a focus on ML training pipelines and edge robotics. Active projects span autonomous driving data prep, NPU algorithm optimization, and large-model inference, while pain points cluster around high-performance distributed computing and large-scale training infrastructure, indicating the company is solving internal bottlenecks that likely inform their product roadmap.

Tech Stack 75 technologies

Core StackPython PyTorch NumPy C++ Linux TensorFlow Java Scala Apache Flink Apache Spark Kafka Superset Docker Kubernetes GitHub Google Analytics Hugging Face JavaScript Vue React Bash YOLO C/C++ Git ROS 2 Redux Toolkit SQL DolphinScheduler HTML5 CSS+45 more

What 昆山云景网络科技有限公司 Is Building

◆Challenges

High-performance data processing cluster
System performance optimization
Large model training inference support
Optimizing data processing performance
Large-scale data processing
Budget management for open source projects
Analyzing competitor open source strategies
Monitoring open source usage
Optimizing ssc processes
Platform stability and scalability

▲Active Projects

Report platform construction
Ai data processing system development
Predictive modeling for hvac and microgrid
Npu algorithm development and optimization
Yolo algorithm performance improvement
Autonomous driving data processing
Data warehouse construction
Large model project
Observability system construction
Visual large model framework construction

Hiring Activity

Minimal20 roles · 0 in 30d

Department

Engineering

Data

Design

Product

Support

Seniority

Mid

Senior

Junior

Lead

Manager

Company intelligence

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About 昆山云景网络科技有限公司

Yunscape develops AI and data processing systems targeting autonomous vehicle and IoT edge-compute applications. The company operates from Suzhou, Jiangsu Province in China. The engineering-dominant team (15 of 22 active roles) is distributed across mid-level (13) and senior (5) contributors, with supporting data (3), design (1), and product (1) roles. Active initiatives include autonomous driving data pipelines, HVAC/microgrid predictive modeling, YOLO performance tuning, large-model frameworks, and observability infrastructure. The organization is currently not hiring (zero placements in the last 30 days).

Headquarters苏州市, 江苏省

Company Size~2 employees

Hiring MarketsChina

Frequently Asked Questions

What tech stack does Yunscape use?

Python, PyTorch, TensorFlow, C++, YOLO, ROS 2, Apache Spark, Kafka, Kubernetes, Docker, and Vue/React frontend. The mix is optimized for ML training, robotics, and distributed data processing.

What is Yunscape working on?

Autonomous driving data processing, NPU algorithm optimization, HVAC/microgrid predictive modeling, large-model inference frameworks, YOLO improvements, data warehouse construction, and observability systems.

Where is Yunscape headquartered?

Suzhou, Jiangsu Province, China. The company domain is yjrenwu.com.