Software solutions软件解决方案
Solution design, delivery coordination and technical support built around how a client's business actually works.
围绕企业业务场景提供软件方案设计、实施协调与技术支持。
ACN澳洲公司编号 654 032 890 Sydney, NSW, Australia澳大利亚 新南威尔士州 悉尼
Enterprise IT services,
extending into AI infrastructure.
企业 IT 服务，
向 AI 基础设施延伸。
We build and support the software, systems and day-to-day operations that Australian enterprises run on. We are extending that same work to the compute, deployment and governance an enterprise needs to put AI into production.
我们为澳大利亚企业客户提供软件解决方案、系统集成与持续 IT 运维支持，协助客户提高信息系统的稳定性、可维护性与业务适配能力。在此基础上，公司正将这一能力延伸至企业 AI 应用所需的计算资源、部署支持与运营治理。
In service today当前已开展
- Software solutions软件解决方案
- System integration系统集成
- IT operations supportIT 运维支持
Planned, subject to contract规划中，以正式需求与合同为准
- Workload and compute assessment业务与工作负载评估
- Hosted GPU capacity — NVIDIA B300 under evaluation本地托管算力 — NVIDIA B300 拟评估
- AI deployment and operations supportAI 部署与持续运营支持
Read the AI infrastructure plan查看 AI 基础设施规划 See open roles查看在招职位
What we do today现有业务基础
System integration系统集成
Bringing software, network and infrastructure together into an environment that runs and can be maintained.
协助企业整合软件、网络与基础设施资源，形成可运行、可维护的技术环境。
IT operations supportIT 运维支持
Ongoing technical support, incident response and operational coordination for existing enterprise clients.
提供持续性技术支持、问题响应与基础运维协同，服务既有企业客户。
Why we are extending into AI转型的出发点
When an enterprise adopts large language models, generative content or intelligent automation, model capability is only part of the problem. It also needs steady compute, a clear boundary around how data is handled, and someone to keep the thing running. That is the work we already do — applied to a new class of workload.
企业在采用大语言模型、生成式内容与智能自动化工具时，除模型能力外，还需要稳定的计算资源、数据处理边界和持续的技术运维支持。ITSAFETY 计划把既有企业 IT 服务能力延伸至这一需求。转型重点不是替代原有服务，而是将软件、系统集成与运维能力延展至企业 AI 应用场景。
AI infrastructureAI 基础设施
Everything in this section is planned. It proceeds on confirmed client requirements, budget, supply and compliance approval. 本节内容均为规划事项，以客户需求、预算、供应条件与合规审批结果为准。
Our direction is AI-ready infrastructure support for enterprise clients: once requirements, budget, supply and compliance conditions are settled, a capability that runs from workload assessment through to deployment and daily operations. Every AI capability below is conditional on a real project and a signed contract.
公司的转型方向聚焦于面向企业客户的 AI 就绪型基础设施支持：在客户需求、预算、供应条件与合规要求明确后，逐步形成从工作负载评估、资源部署到日常运维的服务能力。所有 AI 能力均以实际项目需求和正式合同为前提。
How an engagement runs服务流程
-
Workload assessment业务与工作负载评估
Identify the real compute demand behind model training, inference, content generation or data processing.
识别模型训练、推理、内容生成或数据处理的实际算力需求。
-
Hosted resource planning本地托管资源规划
Plan the deployment once colocation, network, security and data-handling boundaries are confirmed.
在机房合作、网络、安全与数据处理边界确认后，规划相应的部署方式。
-
Deployment supportAI 应用部署支持
Software integration, infrastructure configuration and runtime support for the client's AI applications.
为企业 AI 应用提供软件接入、基础设施配置与运行支持。
-
Operations and governance持续运营与治理
Access control, runtime monitoring, log retention and the working routines that keep a service accountable.
建立访问控制、运行监测、日志留存与服务运营的工作机制。
GPU platform — where this standsB300 算力建设规划 — 当前状态
| Item规划事项 | Current position当前表述 |
|---|---|
| GPU platformGPU 平台 | NVIDIA B300 is one of the platforms under evaluation.NVIDIA B300 为拟评估方向之一。 |
| Primary workloads主要工作负载 | LLM fine-tuning and inference, multi-modal generation, real-time and batch AI applications.LLM 微调与推理、多模态生成、实时或批量 AI 应用。 |
| Deployment model部署模式 | Proceeds once colocation, network conditions and formal project requirements are confirmed.待机房合作、网络条件与正式项目需求确认后实施。 |
| Data handling数据处理原则 | Governed by the client's data-handling requirements, applicable law and the terms of contract.以客户数据处理要求、适用法规与合同约定为准。 |
No GPU hardware has been purchased to date. Final model, quantity, deployment location and timing will be decided on actual client workloads, supply availability, cost budget, hosting facility conditions and the outcome of compliance approval. 截至目前，公司尚未采购 GPU 设备。公司将根据实际客户工作负载、供应可得性、成本预算、托管机房条件及合规审批结果，决定最终的采购型号、数量、部署地点和实施时间。
Who this is for拟服务场景
Enterprise AI application teams企业 AI 应用团队
Clients who need models and applications connected securely to existing information systems, and kept running afterwards.
需要将模型、应用与既有信息系统进行安全接入和持续运维的企业客户。
Clients with data-handling constraints数据处理受约束的客户
Clients with defined requirements on where data is processed, who may access it, and what delivery records are kept.
对数据处理地点、访问控制或交付记录有明确要求的企业客户。
Technical teams needing steady compute需要稳定算力的技术团队
Teams with continuous inference, content generation or data processing demand that needs infrastructure behind it.
具有持续模型推理、内容生成或数据处理需求，需要基础设施支持的技术团队。
Project-based AI builds项目型 AI 建设客户
Clients moving from proof of concept into real deployment, where software, integration and compute have to arrive together.
从概念验证进入正式部署，需要软件、系统集成与算力资源协同的客户。
Phases分阶段发展安排
-
Define the AI service scope, representative workloads and resource requirements.
确认 AI 服务范围、典型工作负载与资源需求。
-
Once a formal engagement is confirmed, settle colocation, network, security and operating conditions.
在正式合作需求明确后，确认托管机房、网络、安全与运行条件。
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With approvals, contracts and supply conditions met, build the infrastructure and bring services online.
在审批、合同及供应条件满足后，推进 AI 基础设施建设与服务上线。
-
Monitor, support and keep improving the services that are running.
围绕已上线服务提供运行监测、运维支持与持续优化。
How we operate运营与合规原则
Verifiable真实、可验证
Company details, purchases, facilities and client projects rest on actual documents, contracts and records.
公司资料、采购、机房与客户项目均以实际文件、合同和记录为依据。
Built to demand按需建设
Platform and scale follow real business need, approval and supply — in stages, not in advance.
算力平台与规模根据真实业务需求、审批与供应条件分阶段推进。
Clear responsibility责任清晰
Defined boundaries between client, provider, equipment supplier and facility partner at every stage.
明确客户、服务商、设备供应方与机房合作方在各环节的责任边界。
Careers招聘
These roles are tied to the planned AI infrastructure build. Hiring moves in step with the phases above. 以下职位与 AI 基础设施建设规划相关，招聘进度与上述阶段安排同步推进。
We are hiring engineers to build and operate GPU infrastructure in Sydney. Three roles are open. Each expands.
我们正在招聘工程师，在悉尼建设与运营 GPU 基础设施。以下三个职位在招，点击展开查看详情。
Senior GPU Infrastructure Engineer高级 GPU 基础设施工程师
Responsibilities工作职责
- Deploy, operate and scale our planned NVIDIA B300 GPU platform
- Build the fabric networking, storage and orchestration layers
- Implement burn-in testing, acceptance standards and 24×7 monitoring
- Hold availability and SLA commitments for inference services
- 部署、运行并扩展规划中的 NVIDIA B300 GPU 平台
- 建设 Fabric 网络、存储与编排层
- 建立老化测试、验收标准与 7×24 监控机制
- 保障推理服务的高可用性与 SLA 达成
Requirements任职要求
- 3+ years in GPU infrastructure, MLOps or data centre operations
- Hands-on with NVIDIA GPU servers, CUDA and Kubernetes
- Experience orchestrating multi-node GPU clusters
- 3 年以上 GPU 基础设施、MLOps 或数据中心运维经验
- 熟悉 NVIDIA GPU 服务器、CUDA 与 Kubernetes
- 具备多节点 GPU 集群编排经验
Machine Learning Engineer — LLM & Inference机器学习工程师 — LLM 与推理
Responsibilities工作职责
- Fine-tune and deploy large language models in the 7B–70B range
- Optimise inference: KV-cache, quantisation, dynamic batching
- Build real-time streaming inference pipelines
- 完成 7B–70B 规模大语言模型的微调与部署
- 优化推理性能：KV-cache、量化、动态批处理
- 构建实时流式推理管线
Requirements任职要求
- 3+ years in LLM training, fine-tuning (LoRA / QLoRA) and production inference
- Proficient in Python and PyTorch
- vLLM or TensorRT-LLM in production
- 3 年以上 LLM 训练、微调（LoRA / QLoRA）及生产环境推理经验
- 精通 Python 与 PyTorch
- 具备 vLLM 或 TensorRT-LLM 生产实践经验
Multi-Modal AI Engineer多模态 AI 工程师
Responsibilities工作职责
- Build diffusion-based image generation pipelines
- Optimise text-to-image inference for latency and throughput
- 构建基于扩散模型的图像生成管线
- 优化文生图推理的延迟与吞吐
Requirements任职要求
- 2+ years with diffusion models and text-to-image systems
- Proficient in Python, PyTorch and Diffusers
- 2 年以上扩散模型 / 文生图方向经验
- 精通 Python、PyTorch 与 Diffusers
How to apply申请方式
Send your resume to Business@itsafety.com.au. Include a brief note on how you would like to contribute to Australia's sovereign AI compute capacity.
请将简历发送至 Business@itsafety.com.au，并附上一段简短说明：你希望如何参与澳大利亚本土 AI 算力能力的建设。
About关于我们
ITSAFETY PTY LTD. is an enterprise IT services company registered in New South Wales, Australia. We provide software solutions, system integration and ongoing IT operations support to enterprise clients, helping them keep their information systems stable, maintainable and fitted to the business.
ITSAFETY PTY LTD. 是一家在澳大利亚新南威尔士州注册的企业 IT 技术服务公司。公司现阶段面向企业客户提供软件解决方案、系统集成及持续 IT 运维支持，协助客户提高信息系统的稳定性、可维护性与业务适配能力。
Leadership管理团队
- Jiangfeng Ding Director & CEO董事 / 首席执行官 Strategy, direction and final decisions总体战略、方向与最终决策
- Sarah Mitchell Company Secretary公司秘书 Compliance, governance and legal coordination合规、治理与法务统筹
- David Thompson Head of Engineering工程负责人 Software and infrastructure软件与基础设施
- Michael Chen Head of AIAI 负责人 LLM, generative content and inferenceLLM、AIGC 与推理
- Emma Wilson Head of Business & Operations业务与运营负责人 Sales, finance and client support销售、财务与客户支持
Structure组织架构
Organisation chart, 12 people. Jiangfeng Ding, Director & CEO, leads four divisions.组织架构图，共 12 人。董事 / 首席执行官 Jiangfeng Ding 下设四个部门。
- Governance & Administration — Sarah Mitchell, Company Secretary. Reporting to her: Jack Harrison, Administration & People Ops.治理与行政 — Sarah Mitchell，公司秘书。下属：Jack Harrison，行政人事。
- Engineering & Platform — David Thompson, Head of Engineering. Reporting to him: Liam Walker, Software Engineering; Noah Campbell, Systems & Network; Ryan Hughes, GPU & DevOps.工程与平台 — David Thompson，工程负责人。下属：Liam Walker，高级软件工程师；Noah Campbell，系统网络工程师；Ryan Hughes，GPU 基础设施与 DevOps。
- AI Research — Michael Chen, Head of AI. Reporting to him: Sophie Turner, Machine Learning; Ethan Brooks, Multimodal AI.AI 研究 — Michael Chen，AI 负责人。下属：Sophie Turner，机器学习工程师；Ethan Brooks，多模态 AI 工程师。
- Business & Operations — Emma Wilson, Head of Business & Operations. Reporting to her: Grace Taylor, Sales & Accounts.业务与运营 — Emma Wilson，业务与运营负责人。下属：Grace Taylor，销售与客户经理。
Team团队构成
Our aim is to build, on top of our enterprise IT services, an AI infrastructure capability that matches real business demand — and to deliver technical services to Australian enterprise clients that can be implemented, operated and verified.
ITSAFETY PTY LTD. 致力于在企业 IT 服务的基础上，逐步建立与实际业务需求相匹配的 AI 基础设施支持能力，为澳大利亚企业客户提供可落地、可运维、可核验的技术服务。
Contact联系我们
- Careers招聘
- Business@itsafety.com.au
- General enquiries一般咨询
- Business@itsafety.com.au
- Registered entity注册主体
- ITSAFETY PTY LTD. ABN澳洲商业编号 52 654 032 890 ACN澳洲公司编号 654 032 890
- Location所在地
- Sydney, New South Wales, Australia澳大利亚 新南威尔士州 悉尼