The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. The team enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows.
Requirements
- Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services
- Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust
- Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights
- Collaborate globally with Optiver business teams including traders, researchers, and engineers
- Experience leading large-scale engineering projects
- Strong engineering instincts and a deep understanding of computer science fundamentals
- Experience in distributed systems
- Expertise in Python is required; experience with C, C++, or Rust is a plus
- Experience working with GPUs and the CUDA ecosystem is a plus
- Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
- Commitment to continuous learning and improvement in a rapidly evolving environment
- Excellent communication and collaboration skills for working with global researchers and engineers
- Readiness to set technical direction, promote engineering principles, and do the right thing
Benefits
- Generous Paid Time Off
- 401k Matching
- Comprehensive health insurance
- Disability insurance
- Life insurance
- Mental health coverage