Research and develop quantitative trading strategies by analyzing market data, building analytical tools, and deploying high- or mid-frequency algorithms with guidance from a dedicated mentor.
Design, support, and optimize high-performance, low-latency networks for global trading infrastructure, including market connectivity, data centers, and co-location environments.
Support day-to-day trading operations, manage relationships with crypto exchanges and liquidity partners, expand exchange participation, and research strategic priorities and market trends.
Build and evaluate multi-agent AI systems and machine learning models, develop agentic coding tools and internal workflows, and contribute to production MLOps, model testing, and optimization.
Design AI-enabled fundamental equity research workflows, analyze financial data to generate earnings predictions and alpha inputs, and translate sector insights into systematic trading strategies.
Develop and deploy large-scale deep learning systems, from data pipelines and sequence models to agentic workflows and production monitoring, while evaluating and improving model performance.
Supports digital-asset trading operations across markets and counterparties, overseeing reconciliations, cash and collateral movements, settlement activity, daily P&L review, and process improvements.
Research execution and trading strategies by analyzing market microstructure, building simulations and data pipelines, and evaluating models to improve execution decisions and performance.
Own day-to-day operations for a large research compute fleet, supporting HPC users, monitoring system health, resolving incidents, provisioning machines, and documenting procedures alongside the HPC engineering team.
Own and automate the full lifecycle of physical machines, from hardware discovery and OS provisioning through validation and production handoff, using GitOps and CI/CD to keep fleet state reliable and auditable.
Design and operate large-scale GPU infrastructure for trading and research, improving workload performance and building automation to keep thousands of compute nodes reliable.
Build and own software that keeps a growing GPU fleet healthy, observable, and efficient, automating operations, troubleshooting issues from applications to kernels, and improving workload utilization.
Optimize deep learning inference pipelines for microsecond-level latency, evaluating heterogeneous hardware, developing GPU kernels, and improving model efficiency, reliability, and deployment performance.
Build and validate the machine learning research platform by benchmarking distributed training and inference, prototyping tools, and sharing findings that guide infrastructure improvements and research workflows.
Build and operate bare-metal Kubernetes infrastructure and platform services, develop Kubernetes operators and developer tooling, and improve the systems that support large-scale engineering workloads.
Research and develop models, experiments, and decision systems that improve execution quality across trading teams, covering market impact, transaction costs, order routing, algorithm selection, and execution risk.
Develop internal software, data workflows, and AI-enabled tools for operational teams, using Python, SQL, and web technologies to improve reporting, automation, reliability, and day-to-day support.
Build and operate software delivery and developer infrastructure for large-scale C++ and Python applications, improving CI/CD, build systems, automation, observability, reliability, and developer productivity.
Design and deploy high-frequency trading algorithms, analyze market data and microstructure for trading opportunities, and build analytical tools and exchange simulators to support systematic trading.
Design and operate high-performance computing infrastructure across Linux, storage, networking, and cloud environments, improving workload efficiency, observability, automation, and reliability for compute platforms.
Design and operate high-performance computing infrastructure across Linux, storage, networking, and cloud environments, improving workload performance, cluster efficiency, automation, and the experience of infrastructure users.
Maintain and improve Linux and AWS infrastructure supporting low-latency trading, automating server provisioning and monitoring while strengthening cloud performance, resilience, and availability.
Manage daily technology procurement operations, from purchase orders and supplier negotiations to hardware delivery and invoice resolution, while supporting regional initiatives and ensuring compliance.
Design and optimize low-latency C++ trading systems for cryptocurrency markets, integrating global exchange data and orders while building tools for performance analysis, historical data, and trading simulations.
Page 2 · 77 results
