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Design, develop, and deploy services for a globally distributed, high-throughput, low-latency trading platform. Own architecture and deliver well-engineered C++ code, collaborate with traders and researchers, build automated trading stacks that run ML models, and continuously optimize trading systems and exchange connectivity.

The role involves conducting deep learning research, building training pipelines, enhancing frameworks, and collaborating with teams to improve trading strategies.

Plan and execute operational audits across trading and support functions. Assess control design and operating effectiveness (trade lifecycle, ITGC, infosec, change management, business continuity). Prepare documentation and reports, communicate findings, recommend remediation, and support broader audit engagements. Collaborate with global teams and contribute to audit methodology improvements. Travel internationally for short assignments (~8-10 weeks/year).

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

The role involves supporting infrastructure deployments, managing LAN/WAN environments, optimizing capacity and reliability, and collaborating with teams for network solutions.

Five-day immersive program for university students to learn options theory, low-latency system design, advanced software engineering, and build/test a trading algorithm. Includes tech workshops, mentorship, networking, and possible 2026/2027 graduate software developer offer at Optiver Shanghai.

As a Senior Software Engineer, you will set architectural direction and lead the development of trading systems, collaborating with teams to innovate and maintain infrastructure.

Serve as the primary HR leader for the Austin office (with some support for Chicago and New York), partnering with leaders on organizational design, performance management, employee relations, engagement, onboarding/offboarding, HR analytics, and global People programs. Leverage Workday and AI tools to improve HR processes, ensure compliance with local laws, and support talent development, succession planning, and continuous improvement.

Lead end-to-end recruitment for experienced technical roles: partner with engineering leaders to design hiring strategies and interviews, source passive talent, manage pipeline health with data-driven insights, handle complex offer negotiations, and deliver a high-quality candidate experience.

Lead end-to-end recruitment for experienced technical roles: partner with engineering leaders on hiring strategy, source passive candidates, assess and interview, negotiate offers, monitor pipeline health with data-driven insights, and deliver a high-quality candidate experience.