---
title: 'AI Infrastructure Engineer at AXQ Capital'
canonical: 'https://feeny.ai/job/ai-infrastructure-engineer-axq-capital-beijing-y0yc03zge10v'
type: 'job'
last_seen: '2026-10-15'
---

# AI Infrastructure Engineer at AXQ Capital

- **Company:** AXQ Capital
- **Location:** Beijing, China
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/axq/jobs/6225198004

## Job description

关于我们

安贤投资（AXQ Capital）是一家全球量化投资机构。我们立足不同地域、资产类别和交易周期，持续构建多元化的投资优势。我们的策略植根于严谨的量化研究与深入的市场理解，并通过对数据、技术和人工智能的长期投入不断强化。我们汇聚来自全球顶尖高校及领先量化机构的优秀人才，倡导以好奇心、严谨精神和主人翁意识为基础的合作文化。在这里，最好的想法能够脱颖而出，每个人也能与公司共同成长。

岗位使命

作为AI 基础设施工程师（AI Infrastructure Engineer）你将参与建设 AXQ 面向量化研究与机器学习的计算和平台基础设施，与 Infrastructure 团队及研究、工程团队紧密合作，提升特征计算、模型训练、实验迭代与推理任务的效率和可靠性。我们面向 PB 级数据处理与数十 TB 级训练数据的研究场景，持续优化 GPU/CPU 计算资源、分布式计算、存储与数据访问、机器学习平台及开发者工具。你将独立负责相关基础设施模块的设计、开发与交付，帮助研究人员更高效地使用计算资源，让研究工作流具备可扩展、可复现、易使用和成本高效的特性。

岗位职责

- 计算集群与任务调度：参与建设和优化 GPU/CPU 集群、资源管理与任务调度系统，支持模型训练、特征计算及量化研究，提高资源利用率与多用户环境下的运行效率。
- 分布式训练与计算：支持多 GPU、多节点训练及分布式计算任务，解决数据加载、节点通信、任务并行和故障恢复中的工程问题。
- 数据访问与性能优化：与数据及研究团队协作，优化大规模数据处理、训练数据读取、缓存和存储访问，定位并改善计算、网络与 I/O 瓶颈。
- 机器学习平台与研究工具：建设开发环境、任务提交、实验管理、依赖与镜像管理等平台能力，提升研究过程的可复现性和实验迭代效率。
- 训练与推理基础设施：支持模型训练、批量及在线推理任务的部署和运行，完善环境交付、版本管理、监控及故障恢复流程。
- 自动化与稳定性建设：通过代码和自动化管理基础设施，完善监控告警、权限隔离、资源配额与容量管理，持续提升系统的可靠性和可维护性。
- 需求落地与使用体验：深入理解研究员和工程师的工作流，将共性需求转化为可复用的平台能力，推动工具落地并持续改进使用体验。

岗位要求

- 具备基础设施、平台工程、分布式系统、高性能计算或机器学习基础设施相关技术基础，能够完成模块设计、开发、部署与问题排查。
- 扎实的 Linux、网络、存储和操作系统基础，能够分析资源使用情况，定位性能与稳定性问题。
- 熟练掌握 Python、Go、C++、Rust、Java 等至少一门编程语言，具备良好的编码习惯和工程意识。
- 理解容器、任务调度与资源管理，熟悉 Kubernetes、Slurm、Ray 或同类系统中的至少一种。
- 理解 GPU 计算、分布式训练或大规模数据计算中的至少一个方向，了解相关任务对数据 I/O、网络通信和资源调度的要求。
- 了解 CI/CD、Infrastructure as Code、监控告警及自动化运维，重视系统的可观测性、可复现性与故障恢复能力。
- 具备良好的学习、沟通与协作能力，能够理解研究需求，分析技术取舍并推动方案落地。

加分项

- 有量化投资、对冲基金、机器学习平台或大规模研究计算平台经验。
- 有 GPU 集群建设、分布式训练性能调优经验，熟悉 PyTorch Distributed、NCCL、CUDA、RDMA 等相关技术。
- 有大规模特征工程、数据管道、分布式存储或 PB 级数据处理经验。
- 有模型服务、大模型微调或推理基础设施建设经验。
- 有公有云、混合云资源管理与 GPU 成本优化经验。
- 熟悉 Claude Code、Codex 等 AI coding tools，并有将其融入开发流程或建设配套工具的实践。

## About AXQ Capital

## Company Overview
- **One-liner**: AXQ Capital is a global quantitative investment firm that uses rigorous scientific research and advanced AI to generate consistent alpha across global markets, asset classes, and trading horizons.
- **Entity Type**: Private (hedge fund; no public listing, bootstrapped with strategic partnership)
- **Headquarters**: New York, United States (with additional offices in Beijing, Shanghai, and Hong Kong)
- **Founded**: 2018
- **Founders**: Yu Gan (CEO), Bo-Xiao Zheng (Co-Founder & China CIO) [linkedin.com](https://linkedin.com/company/axqcap)

## Core Business
- **Primary industry**: Financial services – quantitative hedge fund management
- **Target customers**: Institutional investors (pension funds, endowments, family offices) seeking systematic alpha
- **Mission or purpose**: “Investment Powered by Science” – building cutting-edge technology and data infrastructure to deploy multi-asset, multi-geography strategies [axqcap.com](https://axqcap.com)

## Products & Services
- **Systematic Quantitative Strategies**: Multi-asset, multi-frequency portfolios covering equities, futures, FX, and options across global exchanges. The firm’s approach spans medium-frequency to high-frequency trading, strongly emphasizing AI-driven research and agentic AI infrastructure.
- **Portfolio Management Teams**: End-to-end ownership of strategy development, from alpha research and portfolio construction to trade execution.
- **R&D Platform**: Internal tools and datasets for quantitative researchers, including a next‑generation agentic AI quant research infrastructure.

No retail products or client‑facing services are offered; AXQ operates purely as an investment manager.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held)
- **Key Metric**: $2B+ in daily trading volume (firm’s own claim); conflicting reports estimate AUM at approximately $286M [algotradingmap.com](https://algotradingmap.com/firms/axq-capital) – actual AUM is not publicly confirmed.
- **Notable Investors/Partners**: Strategic partnership with **Schonfeld Strategic Advisors** (a cornerstone relationship since early days) [axqcap.com](https://axqcap.com)
- **Growth Signals**: Headcount grew 100% YoY (from ~2 to 15 employees) [linkedin.com](https://linkedin.com/company/axqcap); actively hiring across all offices; expanding AI/ML research and engineering teams; hosted a quant conference at Peking University and a summer internship info session in Beijing in 2026 [linkedin.com](https://linkedin.com/company/axqcap)

## Competitive Advantages
- **AI‑First Infrastructure**: Building agentic AI systems for quant research with real financial market feedback as ground truth, positioning AXQ at the frontier of AI in finance.
- **Strategic Partnership with Schonfeld**: Access to capital, distribution, and institutional credibility while maintaining operational independence.
- **Talent Magnet**: Attracts proven professionals from Citadel, Two Sigma, Jump Trading, Tower Research, and Schonfeld, as well as graduates of Harvard, Princeton, Columbia, Peking University, and Tsinghua University.
- **Global Reach**: Offices in New York, Beijing, Shanghai, and Hong Kong provide 24‑hour coverage of major markets and a physical presence in both Western and Asian talent pools.

## Strategic Focus
- **Scaling the research & technology team**: Prioritizing hiring of AI Engineers, Senior Quantitative Researchers, Portfolio Managers, and AI/ML Researchers across all locations [greenhouse.io](https://job-boards.greenhouse.io/axq)
- **Deepening AI integration**: Pushing beyond traditional quant signals into agentic AI and large‑scale machine learning for alpha generation.
- **Expanding market exposure**: Maintaining multi‑asset, multi‑geography strategies to capture opportunities across global regimes.
- **Building brand awareness**: Hosting university events and industry conferences to strengthen recruitment pipeline (e.g., Peking University, Baruch MFE program) [linkedin.com](https://linkedin.com/company/axqcap)

## Why Work Here
- **World‑class peers**: Join a small, elite team of researchers and engineers from top quant firms and universities – opportunities for deep collaboration and fast learning.
- **Cutting‑edge tech stack**: Work with modern Python, Linux, and proprietary AI infrastructure; access to real‑time market data and feedback loops that few firms offer.
- **Culture of curiosity & rigor**: Firm emphasizes continuous learning, diversity of thought, and data‑driven decision making [axqcap.com](https://axqcap.com)
- **Global mobility**: Offices in New York, Beijing, Shanghai, and Hong Kong; hybrid/office policies vary by location (roles appear to be in‑office).
- **Year‑round internships**: Summer, winter, and part‑time academic‑year roles for students, with clear pathways to full‑time offers [greenhouse.io](https://job-boards.greenhouse.io/axq)
- **Notable perks (inferred)**: Competitive compensation typical of top quant funds; exposure to the full investment process; mentorship from founding partners who are active researchers.

## Sources
1. [axqcap.com](https://axqcap.com) – Company website, mission, partnership, and career pages  
2. [greenhouse.io](http://job-boards.greenhouse.io/axq) – Active job listings and company description  
3. [linkedin.com](https://linkedin.com/company/axqcap) – LinkedIn company page, headcount, funding status, key executives, and updates  
4. [algotradingmap.com](https://algotradingmap.com/firms/axq-capital) – Quant firm profile with AUM estimate and strategy details

## Other roles at AXQ Capital

- [Quantitative Research Intern (PhD, Summer 2027)](https://feeny.ai/job/quantitative-research-intern-phd-summer-2027-axq-capital-new-york-7dkh81cpq02f) — New York, NY
- [2027 校园招聘｜量化研究员](https://feeny.ai/job/2027-axq-capital-shanghai-vc2krangsn9s) — Shanghai, China
- [2027 校园招聘｜量化开发工程师](https://feeny.ai/job/2027-axq-capital-beijing-3b0fqtpyadjr) — Beijing, China
- [Algorithmic Trading Researcher](https://feeny.ai/job/algorithmic-trading-researcher-axq-capital-beijing-7jgy3etmhfg3) — Beijing, China / Shanghai, China
- [Head of Systematic Futures](https://feeny.ai/job/head-of-systematic-futures-axq-capital-new-york-vs1tsz1bze55) — New York, NY
- [「启元计划」2027 暑期实习｜量化开发实习生](https://feeny.ai/job/2027-axq-capital-beijing-3e7h5g7mk7ba) — Beijing, China
- [Fund Operations Intern](https://feeny.ai/job/fund-operations-intern-axq-capital-beijing-d62ef8p0mxns) — Beijing, China
- [Quantitative Developer](https://feeny.ai/job/quantitative-developer-axq-capital-beijing-hvbrz550f1h0) — Beijing, China
- [Quantitative Researcher](https://feeny.ai/job/quantitative-researcher-axq-capital-shanghai-25vvv1tvg9y3) — Shanghai, China
- [「启元计划」2027 暑期实习｜量化研究实习生](https://feeny.ai/job/2027-axq-capital-shanghai-61mc11vxp33m) — Shanghai, China