• Managing the development and optimization of software architecture and frameworks for real-world performance while matching or exceeding customer requirements • Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling • Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines • Solidifying existing frameworks and software components and validate with large amounts of real and synthetic the improvements of the computational performance and system utilization • Performing in-vehicle tests, collecting data and completing autonomous drive missions • Developing unit tests, documentation for features, evaluating quality and proposing corrective actions • Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA) • Follow quality and safety standards such as defined by MISRA.

• Build, scale, and grow a team of outstanding engineers and data scientists • Build strong relationships with Data Scientists and Engineers across the business • Act as an ambassador for experimentation across the company

• Lead the custom software product team, owning and executing the application suite roadmap. • Collaborate with product stakeholders, develop a product strategy, and ensure applications are scalable and lead the industry in user experience and feature offerings. • Achieve an expert level understanding of how custom software systems are designed and integrated with other business platforms. • Assist in building the custom software roadmap according to product strategy, prioritized business/client needs, and resource availability. • Ensure products keep pace with evolving field technologies and hardware. • Lead feature design and collaboration with stakeholders, ensuring timelines and requirements are met. • Manage a small team; mentor team members and foster career growth.

• Define and own the engineering roadmap for Alpaca’s institutional trading platform • Build, lead, and scale a high-performing team of engineers with a strong culture of ownership and execution • Partner with the CTO and Global Head of Brokerage to align engineering priorities with institutional and prime brokerage strategy • Lead the evolution toward a multi-asset trading architecture supporting cross-margining across equities, options, FX, futures, and other derivatives • Design and deliver institutional trading capabilities, including but not limited to: • Drive architectural decisions across trading APIs, execution systems, real-time risk, margin engines, and analytics platforms • Set and enforce technical standards for performance, availability, scalability, and operational resilience in latency-sensitive systems • Coordinate multiple concurrent initiatives across trading, risk, margin, asset classes, and customer-facing tooling • Work cross-functionally with Product, Risk, Compliance, Operations, and Finance to deliver production-ready systems • Represent institutional trading engineering in executive-level planning and decision-making • Provide technical and architectural thought leadership in trading and brokerage technology, influencing direction internally and through industry engagement • Hands-on engineering, such as writing PoC code, conducting code reviews, deploying to production, and providing an L3 escalation contact point.