workflows—without losing sight of trading realities like latency, determinism, and operational risk. Job Responsibilities Design and build high-performance market-data, feature-computation, backtesting, simulation, model-serving, execution, and monitoring components for systematic trading. Develop reliable low-latency C++ services and APIs that integrate quantitative models with real-time … Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live quantitative strategies. Experience in environments operating real-time systems (hedge fund, proprietary trading firm, market maker ...