C++ · Machine Learning
Optiver is looking for Software Engineers to join our High-Frequency Trading team in Austin. Our engineers work at the intersection of research-driven trading, machine learning, ultra-low-latency software and custom hardware to build fully automated trading systems operating across global markets.
As a Software Engineer, you'll work directly with traders, researchers and hardware engineers to solve complex technical challenges, develop new trading strategies and build the systems that bring them to production. Our teams own problems end to end, from data ingestion, feature generation and simulation through to high-performance C++ and FPGA-based execution.
We're continuing to expand into new markets, products and strategies, creating opportunities to build new systems, influence technical direction and see your work directly impact live trading across the world.
What you'll do
- Partner closely with traders and researchers to develop and improve research-driven, machine learning-based trading strategies.
- Build and optimize trading infrastructure across the full lifecycle, from data ingestion, feature generation and simulation through to production execution.
- Solve challenging performance problems across ultra-low-latency C++, software architecture and FPGA-based trading systems.
- Design and develop scalable research infrastructure that enables rapid experimentation, backtesting and deployment of new strategies.
- Push frequent, impactful code changes into production, with direct visibility into their performance in live markets.
- Contribute to the technical