Lead Trading Systems And AI Infrastructure Engineer (Crypto/HFT)

TL;DR

Lead Trading Systems And AI Infrastructure Engineer (Crypto/HFT): Leading the design and operation of full trading runtime and AI/ML infrastructure for a proprietary hedge fund with an accent on ultra-low-latency execution, real-time risk checks, and large-scale time-series modeling. Focus on building high-performance systems where microseconds matter, developing research-grade ML infrastructure, and exploring novel hardware architectures for acceleration.

Company

AlumniHub is building a large, proprietary hedge fund where technology is the core advantage, rethinking financial market forecasting using modern systems and frontier AI.

What you will do

• Architect market data ingestion, ultra-low-latency order routing, and real-time risk checks for trading.
• Build high-performance, low-latency systems focusing on networking, concurrency, memory layout, and optimization.
• Lead the development of the AI/ML platform for large-scale time-series modeling, distributed training, and high-throughput inference.
• Integrate research workflows with data pipelines and production trading systems.
• Design systems for optimizing experiment speed, reproducibility, and rapid iteration in a research-heavy environment.
• Lead software development around new compute paradigms, compilers, runtimes, and performance-critical systems for novel hardware.

Requirements

• Leadership in designing and operating full trading runtime across crypto and traditional markets, including market data, order routing, and risk checks.
• Expertise in building high-performance, low-latency systems focusing on networking, concurrency, memory layout, performance profiling, and optimization.
• Experience in designing and implementing AI/ML infrastructure for large-scale time-series modeling, distributed training, and high-throughput inference.
• Ability to lead software layers around new compute paradigms such as compilers, runtimes, and MLIR/LLVM-based stacks.
• Strong integration skills between research workflows, data pipelines, and production trading systems.
• English: mandatory.

Nice to have

• Background in Compilers, runtimes, or hardware-adjacent software.
• Experience with MLIR / LLVM ecosystems.
• Experience bridging research and production systems.
• Exposure to both crypto and traditional markets.
• Russian is a strong plus.

Culture & Benefits

• Work within a proprietary hedge fund where technology is the core advantage.
• Collaborate tightly with an internal AI Research Lab, owning the full stack from research ideas to production trading systems.
• Opportunity to work at the intersection of trading, AI, and hardware innovation.
• Engage in a true High-Frequency Trading (HFT) environment, not general fintech.
• Focus on building research-grade ML infrastructure, distinct from typical corporate MLOps.
• Explore how novel hardware can accelerate model training/inference and speed up trading runtimes.