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описание
A quantitative trading and investment technology firm operates globally across liquid financial markets, combining technology, large-scale research, and engineering to solve complex problems in systematic trading.
задачи
Design, develop, and optimize high-performance C++ systems for trading, market data, and infrastructure workloads
Analyze and improve latency across CPU, memory, cache, and networking layers
Build scalable and reliable components for real-time distributed systems
Collaborate with hardware, networking, and FPGA teams to optimize critical data paths
Profile, benchmark, and troubleshoot performance bottlenecks in production systems
Contribute to the design of next-generation low-latency architectures
требования
3+ Years of professional experience developing performance-critical software in modern C++ (C++17 or newer)
Strong understanding of systems programming and low-level software architecture
Deep knowledge of memory management, CPU architecture, cache behavior, and concurrency
Experience in Linux environments, including familiarity with kernel tuning and performance profiling
Understanding of networking fundamentals and system performance under load
Genuine interest in performance optimization and solving complex engineering challenges
Будет плюсом: Low-latency trading, HFT, market-making, or exchange connectivity, kernel bypass technologies, TCP/UDP networking, FPGA interaction and hardware acceleration, real-time distributed systems, performance profiling and benchmarking tools
условия
Opportunity to join a newly established Amsterdam engineering hub at an early stage
Work alongside some of the strongest engineers in quantitative trading
Tackle highly complex technical challenges at the intersection of software and hardware
Competitive compensation package
Relocation support is available
Collaborative, engineering-driven culture with significant ownership and impact
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