Millennium
Quantitative Developer, C++ I Low-Latency Systems
$150K–$200K
New York, New York · On-site · Full-time · Posted Jun 8, 2026
- Experience
- 3+ years developing high-performance C++ server-side applications in Linux.
- Education
- Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
About the job
Build and maintain low-latency C++ signal and trading infrastructure for a systematic equities pod, working with quantitative researchers to productionize strategies.
What you'll do
- Develop the C++ signal engine, including real-time feature computation, signal generation, position tracking, and risk monitoring.
- Integrate market data and signals with shared execution platforms, and build the bridge to the Python/Polars research layer.
- Optimize performance and maintain backtesting, simulation, logging, and monitoring infrastructure.
What they ask for
- Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
- 3+ years of hands-on experience developing high-performance C++ server-side applications in Linux.
- Experience consuming real-time market data feeds and integrating with shared execution platforms.
- Proficiency in Python; familiarity with Apache Arrow, Linux systems, network programming, concurrency, Git, CI/CD, and testing.
Nice to have
- Experience building trading systems in systematic equities or quant trading.
- Familiarity with low-latency optimization techniques, Rust, kdb+/q, or equity market microstructure.
Pay
$150,000 to $200,000 USD base salary
Tools
C++, Linux, Python, Polars, Pandas, NumPy, Apache Arrow, Git
AI focus
Use AI-assisted development tools, including Cursor and Claude Code, to accelerate development while maintaining code quality.
Model-written summary · the original posting is authoritative