Quant Trading Developer (DEX/CEX)

Shenzhen Key responsibilities Latency: Lead the work to improve our execution speed by cutting latency, jitter and bottlenecks across the tick-to-trade path (node sync, market data, network, order signing and submission), without compromising stability.

Responsibilities

• Build and trade automated Hyperliquid strategies (arbitrage, liquidations, funding capture) with firm capital, and own the P&L. Live risk: Manage positions, leverage, margin and funding in real time within risk limits.
• Build and run self-hosted Hyperliquid (or other DEX) nodes and execution infrastructure, keeping them stable and highly available.
• Build market-data handlers, internal order books and order routing for Hyperliquid and other on-chain venues.
• Track latency (order round-trip, market-data delay, fill quality) and build kill switches and position limits.

Requirements

• Proven, measurable latency reduction in production while keeping live systems stable.
• Hands-on with latency profiling, network tuning, CPU pinning and async event loops.
• 3+ years of live quant or systematic prop trading with direct P&L responsibility, running perpetual futures strategies and managing leverage and funding in real time.
• Has built and run a Hyperliquid or other DEX node, and can explain its architecture, bottlenecks and latency trade-offs in depth.
• Strong with RPC, WebSocket feeds, transaction signing and smart contracts.
• Python required; Rust, C++ or Go a strong plus.
• Deep understanding of perpetuals, funding, leverage, liquidations and on-chain order books.
• Solid grasp of exchange microstructure (order types, order-book events, rate limits).
• Bachelor’s or above in Computer Science, Engineering, Finance, Mathematics or a related quantitative field.
• Strongly preferred Trading across DEX and CEX venues, including cross-venue arbitrage.
• Low-latency or HFT background (e.g. lock-free structures, ring buffers).