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职位搜索/超威半导体/Software Development Engineer
AMD logo
A
超威半导体 (AMD)

职位信息

上海市
中级经验
全职员工
仅现场办公
本科
普通员工/个人贡献者

标签

GPUCI/CDGitHub ActionsBuildkite
💡

核心评价

AMD DevOps工程师,前沿技术栈,高成长性,办公现场,薪资有竞争力但未明确。

Software Development Engineer

🤖 AI 估测:¥30K-45K

发布时间:大约 19 小时前

立即应聘

ℹ️关于这个职位

作为AI/ML框架团队的软件工程师,你将负责构建和维护可扩展的DevOps基础设施,加速AMD的AI软件开发
工作内容包括设计CI/CD流水线、管理Kubernetes集群、使用Ansible和Python实现自动化,以及支持GPU计算环境
适合有扎实DevOps背景、熟悉Kubernetes和自动化工具的工程师

✓工作职责

CI/CD Pipeline Development: Design, implement, and manage efficient continuous integration and delivery pipelines using Buildkite, GitHub Actions, and Jenkins to enable rapid and reliable software deployment.
Kubernetes Infrastructure Management: Deploy and maintain robust Kubernetes-based environments across both on-premise and cloud platforms to support scalable service orchestration.
Infrastructure Automation: Automate provisioning, configuration, and management of infrastructure using Ansible, Python, and Bash to improve system consistency and reduce manual intervention.
Service Deployment with Helm: Administer application and service deployment in Kubernetes using Helm charts for consistent and repeatable release processes.
GPU Server Support: Configure, manage, and maintain GPU-based compute environments including lifecycle automation and hardware-level test integration.
Database and Observability Integration: Interact with MySQL databases to support dynamic data updates and integrate data sources into Grafana dashboards for monitoring and insights.
Cross-Functional Collaboration: Work closely with development teams, SREs, and project stakeholders to ensure system-level alignment and high-impact delivery.
Quality Assurance Enablement: Integrate automated testing frameworks into CI pipelines to ensure code quality, stability, and performance across development cycles.

⭐最低要求

THE PERSON: The ideal candidate is a skilled engineer with a strong background in DevOps, site reliability, or infrastructure engineering. They are proficient in Kubernetes, CI/CD tools, scripting (Python/Bash), and infrastructure automation frameworks such as Ansible. Experience working with GPU compute environments and integrating automated test workflows is highly valued. This person thrives in collaborative, fast-paced environments and can drive technical execution with minimal oversight. They bring a problem-solving mindset, strong communication skills, and a passion for building reliable, scalable systems.
ACADEMIC CREDENTIALS: Bachelor's or master's degree in computer/software engineering, Computer Science, or related technical discipline. Years of professional and relevant industry experience.

👍优先资格

PREFERRED EXPERIENCE: DevOps Tools & Automation: Proficient with Buildkite, GitHub Actions, Jenkins, Ansible, and scripting languages like Python and Bash for streamlining DevOps workflows. Containerization & Orchestration: Strong experience with Docker, Kubernetes, and Helm for deploying and managing scalable, containerized applications. Infrastructure as Code (IaC): Hands-on experience automating infrastructure provisioning and configuration to ensure reproducibility and scalability across environments. GPU-Based Compute Environments: Familiarity with GPU server lifecycle management and integration of GPU resources into CI test workflows for performance-critical applications. Monitoring & Observability: Experience using tools like Checkmk, Prometheus, and Grafana to monitor infrastructure health and application performance. Version Control & Collaboration: Advanced knowledge of Git-based version control, including branching strategies and CI/CD integration for collaborative development. Linux & System Administration: Solid background in Linux environments, including shell scripting and system-level troubleshooting across distributed systems. Agile & Cross-Disciplinary Collaboration: Comfort working in Agile teams and partnering with software, infrastructure, and product teams to drive consistent delivery and innovation.
Watch Jobs

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© 2026 Watch Jobs. 保留所有权利

Created by jianglicat - 讲礼猫

超威半导体 的其他在招职位

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  • PMTS Systems Design Engineer

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  • Sr. Silicon Design Engineer

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  • Systems Design Engineer

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  • SW Solution Engineer-AI

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