Quantitative Hardware Researcher

What you’ll do

• Design, build and run experiments to characterize hardware such as switches, routers and trading systems at picosecond scales
• Work with execution researchers at all of our offices to understand real world vs lab performance of our trading systems and strategies
• Work with our software engineers in the lab to scale out and automate your research such that we can apply it at a global scale
• Be part of designing the next generation of systems and strategies which take your findings into account
• Your experience with lab measurements makes you a valuable resource for anyone looking at production data or trying to improve our production captures
• Help run the lab, make sure we have everything we need to run upcoming experiments and manage the queue of work
• Be involved with suppliers to test and understand next generation systems and measurement equipment

What you'll get

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• A global profit-sharing pool and performance-based bonus structure
• A 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

• You have a strong understanding of quantitative analysis methods and have the ability to present findings to others
• You are grounded in physical reality; you have an understanding of how hardware works and have the ability to use this knowledge to form hypothesis, conduct physical experiments and draw conclusions from that
• You are comfortable working with Python and Jupyter notebooks
• You’re not afraid to be hands on in a datacenter lab environment
• You have programming experience in low level languages such as C/C++ or VHDL
• You have experience with (low-latency) networks and related hardware
• You have an educational background in Statistics, Mathematics, Engineering, Computer Science, or similar (Masters/PhD preferred)
• You have a preference for working collaboratively with like-minded people
• You have a passion for solving problems and a drive for results

Who we are

We are Optiver, a market-making institution focused on improving the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market. Our Austin office serves as the innovation nucleus, focusing on quantitative research, software, and hardware engineering initiatives.