软件工程师 - 基础设施
Software Engineer - Infrastructure
关于 Baseten
Baseten 为全球最具活力的 AI 公司提供关键任务的推理支持，例如 Cursor、Notion、OpenEvidence、Abridge、Clay、Gamma 和 Writer。通过结合应用 AI 研究、灵活的基础架构和无缝的开发者工具，我们使处于 AI 前沿的公司能够将前沿模型投入生产。我们正在快速成长，并最近完成了 1.5 亿美元的 F 轮融资 https://www.baseten.co/blog/announcing-our-series-f/，由 Altimeter Capital、Conviction Partners 和 Spark Capital 领投。加入我们，帮助构建工程师们用来部署 AI 产品的平台。
职位描述
作为 Baseten 的基础设施软件工程师，你将构建和维护我们 ML 推理平台的组件，该平台为生产环境的 AI 应用提供支持。你将参与核心基础架构的开发，使开发者能够以高性能部署、扩展和监控 ML 模型。
示例项目
作为基础设施团队的一员，你将参与以下类型的项目：
- 多云容量管理 https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- 在 B200 GPU 上进行推理 https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- 多节点推理 https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- 分布式 H100 GPU 用于高效模型服务 https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
职责
- 使用 Python 和 Go 开发我们 ML 推理平台的基础架构组件
- 实现和维护模型服务的 Kubernetes 部署
- 为模型部署贡献推理编排层
- 构建和增强模型性能指标的监控系统
- 实现高效的 ML 工作负载资源管理解决方案
- 支持基础设施自动化以改进 ML 部署流程
- 与团队成员紧密合作，实现技术解决方案
- 协助在性能优化与系统可靠性之间取得平衡
- 参与基础设施改进的技术讨论
- 学习并应用基础设施最佳实践
要求
- 计算机科学或相关领域的学士学位或更高学历
- 精通一种或多种流行的编程或脚本语言；精通 Go 是加分项
- 熟悉 Kubernetes 和容器化技术
- 基础的网络和系统知识
查看英文原文
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
- Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES
- Develop infrastructure components for our ML inference platform using Python and Go
- Implement and maintain Kubernetes deployments for model serving
- Contribute to our inference orchestration layer for model deployments
- Build and enhance monitoring systems for model performance metrics
- Implement efficient resource management solutions for ML workloads
- Support infrastructure automation to improve ML deployment workflows
- Work closely with team members to implement technical solutions
- Help balance performance optimization with system reliability
- Participate in technical discussions around infrastructure improvements
- Learn and apply infrastructure best practices
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
- Working knowledge of Kubernetes and containerization
- Basic understanding of machine learning concepts and model serving
- Familiarity with distributed systems concepts
- Experience with basic monitoring and logging tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).