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Build and scale DoorDash’s in-house Apache Spark platform, optimizing runtime, shuffle service, and Kubernetes-based scheduling to power data, analytics, and ML workloads at massive scale.
Build and operate DoorDash’s in-house Apache Spark platform, optimizing runtime, multi-tenant scheduling on Kubernetes, cluster lifecycle automation, and observability tooling at company-wide scale.
Designs and validates RF hardware for autonomous delivery platforms, focusing on interference mitigation and wireless systems like 5G, Wi-Fi, and GPS.
Develop flight control, motion planning, and mission planning algorithms for drone delivery systems using C++ and embedded platforms, testing in real-world flight scenarios.
Build and maintain real-time, fault-tolerant onboard software for drone autonomy at DoorDash Labs, including process management, health monitoring, and development tooling for aerial logistics.
Lead the architecture and evolution of DoorDash’s event streaming platform (Kafka, WarpStream, AutoMQ) that handles trillions of events daily, setting multi-year technical strategy and solving distributed-systems challenges at massive scale.
Designs durable door and hatch systems for DoorDash’s autonomous delivery robots, collaborating with cross-functional teams to ensure manufacturability, reliability, and real-world performance.
Integrates robotics subsystems (mechanical, electrical, firmware) into a cohesive autonomous delivery platform, designing test benches and validating system-level performance.
Integrates and tests software for robotics systems at DoorDash Labs, ensuring subsystems like OS, firmware, and networking work together reliably.
Designs and runs real-world flight tests for autonomous delivery aircraft, analyzing performance data and feeding results back to engineering teams using Python and SQL.
Designs, governs, and enforces DoorDash’s sales incentive programs (SPIFFs, contests) for SMB segments, ensuring spend drives intended seller behavior while managing cross-functional planning and reviews.
Prepare meals and maintain kitchen organization in a fast-paced DoorDash DashMart facility, ensuring food safety and quality while collaborating with a shared team.
Monitor and respond to security incidents in real time for DoorDash’s workforce and facilities, using access-control systems and emergency protocols.
Validate and test autonomous delivery robots, ensuring they meet performance, safety, and regulatory standards through system-level testing and troubleshooting.
Research and build AI agent systems to improve DoorDash’s logistics and user experiences, deploying solutions at real-world scale with reinforcement learning and multi-agent techniques.
Leads AI research at DoorDash, defining the research agenda, hiring, and culture for an org focused on deploying cutting-edge AI models in logistics and marketplace dynamics using proprietary data and compute resources.
Leads a QA team at DoorDash to design and execute scalable quality processes, build MQA/AQA programs, and improve customer experience metrics across logistics and delivery operations.
Build backend services for autonomous drone delivery, focusing on path planning, fleet management, and real-time airspace coordination to enable safe, scalable drone logistics.
Build and deploy ML models for delivery ETAs, prep-time prediction, and logistics optimization at DoorDash Drive, using deep learning, reinforcement learning, and multimodal AI.
Lead a Mobile Developer Experience team building foundational tools (ZeroKit, iOS/Android monorepos) to help engineers prototype and ship apps faster and more reliably at scale.
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