Quant Trader/Developer (On Chain)

Key responsibilities Lead the work to improve 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 Build and trade automated Hyperliquid strategies (arbitrage, liquidations, funding capture) with firm capital, and own the P&L 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 About you 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 microst