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Taoyuan City, Taiwan
Mid-Senior level
Logo of 富據智能科技股份有限公司.
🏢 Full-Stack Software Engineer (AI × Safety Tech) Location: Taipei / Taoyuan (Hybrid Remote) Job Type: Full-time Compensation: Competitive base + performance bonus (negotiable based on experience) Seniority: Mid to Senior (4–6 years) 🎯 Responsibilities 🛠 Product Development Build and iterate the core SAFE platform used in smart pool / open-water / port safety systems. Frontend development for operator dashboards: maps, zone overlays, live streams, alerts, events, and reports. Backend development of REST/gRPC APIs and real-time WebSocket services integrating: AI inference pipelines ePTZ tracking modules RTSP/ONVIF camera streams NVR / VMS systems Design of event stream pipelines using Kafka / MQTT / RabbitMQ for real-time alerts and post-recording workflows. 🔗 System Integration Collaborate with AI engineers to define inference APIs, score thresholds, and versioning (incl. A/B testing). Work closely with field engineers (FAEs) and hardware partners on-site deployments: cameras, edge boxes (GPU), ePTZ, and network topology. ⚙️ Deployment DevOps (DevOps/SRE) Build reproducible cloud + edge environments using Docker, K8s, Helm, Terraform. Own the CI/CD pipelines (GitHub Actions or GitLab CI): release management, automated testing, rollback procedures. Monitor system health: Prometheus/Grafana, ELK/OpenSearch, Sentry for logs, metrics, and availability. 📦 Productization Customer Success Parameterize site-specific configs (alert levels, whitelist/blacklist, camera/network setup, sensitivity). Author technical documentation, setup guides, and support field testing or PoC if needed. ✅ Requirements (Must-Have) 4–6 years of hands-on web product development experience. Able to own features from spec → design → implementation → deployment → maintenance. Frontend: TypeScript + React (or Vue). Familiar with WebSocket, HLS, WebRTC basics. Backend (proficient in at least one, and can quickly learn others): Go (Golang): Gin/Fiber or similar Node.js: Express/NestJS Python: FastAPI Solid API design, database schema modeling, and testing skills. Databases: PostgreSQL, Redis (caching, job queues, Pub/Sub). DevOps: Docker, basic Kubernetes, CI/CD experience (GitHub Actions or equivalent). Streaming: Familiarity with RTSP/ONVIF, NVR/VMS playback and access control. Collaboration: Ability to communicate across AI/FAE/PM teams and decompose fuzzy specs into shippable tasks. ⭐ Bonus Points (Nice-to-Have) Required: Completion of at least one cybersecurity-related training or certification, e.g.:ISO 27001 internal auditor courseCloud security foundation (AWS/GCP)Complex audits (e.g. penetration testing, CVE remediation) are handled externally; you’ll only need to apply fixes and adjust configs as needed. Real-time low-latency streaming: WebRTC, FFmpeg, HLS/DASH experience. Kafka / MQTT event stream experience. ONVIF PTZ camera control, multi-camera stitching. Infrastructure-as-Code: Terraform, Helm, Kustomize. Observability: Alert rule design (e.g., latency, packet loss, GPU usage, noise suppression). Language: Ability to read/write technical English; conversational Japanese is a plus (for overseas partner support).
60K ~ 90K TWD / month
4 years of experience required
No management responsibility
Logo of 泰科動力股份有限公司.
【主要工作內容】一、WCS 產品架構設計與技術主導二、演算法設計與優化,需具備開發或主導下列至少一類演算法:•任務派發與調度•儲位最佳化•系統效能模型三、軟體開發與程式碼品質維護•使用 C#/.NET 開發 WCS 模組、演算法模組與系統框架。•主導 Code Review、架構標準制定、模組化重構。•建立 Unit Test、CI/CD 流程、Logging、Monitoring、Observability。四、設備與物流整合•了解物流現場流程(出入庫、揀貨、補貨、盤點、任務優先權)。•整合 AMR、ASRS、輸送線、PLC 設備之 API / 通訊協定。•能與硬體/AI/機電團隊合作,處理跨設備控制邏輯。五、團隊管理與跨部門合作•帶領 3–10 人軟體團隊(後端、控制、演算法)。•與 PM、硬體、AI 團隊共同規劃產品 Roadmap、技術 Milestone。•推動 Agile / Scrum 技術文化。【必要條件】•8+ 年軟體開發經驗,3+ 年架構或主管經驗。•熟悉 .NET / C#、分散式系統、API 設計、微服務架構。•熟悉 MIP、OR-Tools、Heuristic、A*、Scheduling、Routing 等任一類演算法。•熟悉倉儲流程、物流設備、WCS/WMS 整合概念。•具備高併發、高可用系統開發經驗(優化 10k+ events/sec 更佳)。【加分條件】•實作過 WCS、WMS、FMS、MES 或大型 OT 整合系統。•有 AMR/AGV Routing、ASRS Scheduling、Conveyor Flow Control 實務經驗。•熟悉 gRPC / Kafka / Kubernetes / Docker。•有 Simulation、數學最佳化、AI/ML 加速經驗優先。•具備跨國團隊溝通經驗(日本/美國/東南亞)。【我們期待的夥伴】•對物流自動化、演算法、AI、設備整合高度熱情。•具強邏輯與問題分析能力。•主動負責、能快速適應不確定環境。•善於跨部門溝通並推動產品落地。

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