平台工程师 - AI/ML 基础设施
Platform Engineer - AI/ML Infrastructure
## **公司简介**
Deepgram 是支撑新兴万亿美元语音 AI 经济的领先平台，提供实时 API 用于语音转文字（STT）、文字转语音（TTS），并可大规模构建生产级语音代理。超过 20 万名开发者和 1300 多家机构正在使用“由 Deepgram 提供支持”的语音产品，包括 Twilio、Cloudflare、Sierra、Decagon、Vapi、Daily、Cresta、Granola 和 Jack in the Box。Deepgram 的语音原生基础模型可通过云 API 或自托管及本地软件访问，具有无与伦比的准确性、低延迟和成本效率。由领先的全球投资者和战略合作伙伴领投的最新 C 轮融资支持，Deepgram 已处理超过 5 万年的音频，并转录了超过 1 万亿个单词。世界上没有哪家公司比 Deepgram 更了解语音。
## **公司运营节奏**
在 Deepgram，我们期望具备 AI 优先的思维模式——AI 的使用和熟悉程度不是可选项，而是我们运作、创新和衡量绩效的核心。
每一位在 Deepgram 工作的成员都应积极使用和试验先进的 AI 工具，甚至将它们融入日常工作中。我们衡量 AI 应用的效果以实现成果，持续且富有创意地利用最新 AI 能力是这里成功的关键。候选人应能够快速采用新模型和新模式，将 AI 整合到自己的工作流程中，并不断推动这些技术的边界。
此外，我们以 AI 的速度前进。变化迅速，你每天的工作内容也会随之快速变化。如果你对实验、适应、临场反应和不断学习不感兴趣，或者你寻求的是高度规范化的传统朝九晚五工作，那么这个职位可能不适合你。
**机会：**
我们正在寻找一位经验丰富的平台工程师，为我们的高级 AI/ML 研究和产品开发构建和运营混合基础设施基础。你将设计、构建和运行跨越 AWS 和我们裸金属数据中心的平台，使我们的团队能够大规模训练和部署复杂模型。此职位专注于使用 Kubernetes、AWS 和基础设施即代码（Terraform）创建强大、自助式环境，并使用 Slurm 等调度器协调高需求 GPU 工作负载。
**你将负责**
- 使用 Kubernetes、AWS 和基础设施即代码（Terraform）设计和维护我们的核心计算平台
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## **Company Overview**
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
## **Company Operating Rhythm**
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
**Opportunity:**
We're looking for an experienced Platform Engineer to build and operate the hybrid infrastructure foundation for our advanced AI/ML research and product development. You'll architect, build, and run the platform spanning AWS and our bare metal data centers, empowering our teams to train and deploy complex models at scale. This role is focused on creating a robust, self-service environment using Kubernetes, AWS, and Infrastructure-as-Code (Terraform), and orchestrating high-demand GPU workloads using schedulers like Slurm.
**What You’ll Do**
- Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.
- Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.
- Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.
- Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.
- Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments.
- Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.
- Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.
- Automate the life cycle of single-tenant, managed deployments
**You’ll Love This Role If You**
- Are passionate about building platforms that empower developers and researchers.
- Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.
- Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.
- Are excited to work at the intersection of modern platform engineering and cutting-edge AI.
- Love to treat infrastructure as a product, continuously improving the developer experience.
**It’s Important To Us That You Have**
- 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
- Proven, hands-on experience building and managing production infrastructure with Terraform.
- Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.
- Strong scripting and automation skills (e.g., Python, Go, Bash).
- Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.
**It Would Be Great if You Had**
- Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.
- Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.
- Familiarity with FinOps principles and cloud cost optimization strategies.
- Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.
- Experience in a multi-region or hybrid cloud environment.
_**Notice**: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @_ [_deepgram.com_](http://deepgram.com) _email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com._