Software Engineer

Optiver•Austin, TX

About The Position

Optiver is seeking Software Engineers for its High-Frequency Trading team in Austin. Engineers work with research-driven trading, machine learning, ultra-low-latency software, and custom hardware to build fully automated trading systems for global markets. The role partners closely with traders, researchers, and hardware engineers to develop trading strategies and take systems from research through production. Teams own problems end to end, spanning data ingestion, feature generation, simulation, high-performance C++, and FPGA-based execution. The firm is expanding into new markets, products, and strategies, giving engineers opportunities to build systems, influence technical direction, and contribute to live trading. Optiver is a technology-driven trading firm and global market maker, working with more than 70 exchanges. Its mission is to improve markets by providing liquidity and accurate pricing, increasing transparency, and helping stabilize markets. The Austin office, located in The Domain neighborhood, focuses on quantitative research and software and hardware engineering, with investment in machine learning, research infrastructure, and big-data computing.

Requirements

  • Strong engineering instincts and a deep understanding of computer science fundamentals.
  • Interest in solving complex performance challenges through software optimization, systems design, or hardware/software integration.
  • Innovative thinking grounded in real-world pragmatism.
  • Desire to continuously improve, learn, and solve challenging problems in a rapidly evolving environment.
  • Readiness to take ownership, influence technical direction, and uphold high engineering standards.

Nice To Haves

  • C++ experience, ideally in performance-critical systems such as low-latency trading, market data processing, execution systems, or simulation frameworks.
  • Experience with Python, Linux, distributed systems, or machine-learning infrastructure.

Responsibilities

  • Partner with traders and researchers to develop and improve research-driven, machine-learning-based trading strategies.
  • Build and optimize trading infrastructure across the lifecycle, from data ingestion, feature generation, and simulation through production execution.
  • Solve performance challenges involving ultra-low-latency C++, software architecture, and FPGA-based trading systems.
  • Design and develop scalable research infrastructure for experimentation, backtesting, and deployment of strategies.
  • Deliver frequent, impactful code changes to production and assess their performance in live markets.
  • Contribute to the technical direction of trading systems as the firm expands into new markets, products, and strategies.
  • Develop a deep understanding of market microstructure, trading, and exchange behavior.

Benefits

  • Highly competitive compensation package.
  • Global profit-sharing pool and performance-based bonus structure.
  • 401(k) match up to 50%.
  • Comprehensive health, mental, dental, vision, disability, and life coverage.
  • 25 paid vacation days alongside market holidays.
  • Office perks including breakfast, lunch, snacks, regular social events, clubs, and sporting leagues.
  • Opportunity to work alongside professionals from more than 40 countries.
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