出海雷达

Data Platform Engineer

开发工程限定地区(需当地身份)
公司Bright Vision Technologies
薪资$100,000 - $150,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

远程明亮视觉技术是一个提供云,人工智能,数据和企业解决方案的科技咨询和软件开发公司。这是一个非常好的机会加入一个既定且受尊敬的组织,提供巨大的职业增长潜力。工作标题:数据平台工程师位置:100%远程 (美国)职位类型:全日制,直接 W2工资范围:100,000~150,000美元年薪经验:6年以上赞助:美国公民,绿卡持有人,EAD 持有人和 H-1B 转让候选人鼓励申请。我们无法赞助新的 H-1B 签证申请该职位。工作总结 我们正在寻找一个数据平台工程师,设计,构建和运营高性能,高度可靠的推理平台来服务于生产中的大型机器学习模型。该角色侧重于人工智能部署的系统工程方面,包括请求路由,批量,缓存,自动扩展,GPU 利用以及各种模型工作负载中端到端可观察性。理想候选人带来强大的分布式系统和性能工程专业知识,已经在规模上出货了服务系统,并了解 ML 服务中的延迟,吞吐量,成本和质量的权衡。要求资格 ·计算机科学或相关领域的学士学位。·分布式系统,基础设施或 ML 平台工程六年或以上经验。· 强大的 Python 和 Go, Rust 或 C++ 等系统语言能力。· 在生产中运行高吞吐量和低延迟服务的深度经验。• 与 LLM 或大模型推断框架如 vLLM 或 TensorRT-LLM 的实践经验。· 强大的沟通和事件应对技能。优先资格 · 开源贡献服务基础设施模型。· 多地区或全球分布式 AI 服务的经验。·熟悉模型量化,蒸和压缩技术。· 对 AI 工作负载和成本效益高的服务设计的接触到 FinOps. · 支持外部服务的经历。

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Data Platform Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Data Platform Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary
We are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.

Required Qualifications
· Bachelor’s or Master’s degree in Computer Science or a related field.

  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.

Preferred Qualifications
· Open-source contributions to model serving infrastructure.

  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact us at(908) 505-3544 . Learn more about Bright Vision Technologies at .
Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Originally posted on Himalayas

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