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Build and maintain scalable data pipelines and metrics that power analytics across DoorDash’s operations, using SQL, Python/Scala, and ETL tools to deliver trusted insights for business teams.
Build and scale the shared infrastructure that powers DoorDash’s generative AI products, including real-time and batch LLM inference, fine-tuning, and agent platforms across San Francisco, Sunnyvale, and Seattle.
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.
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.
Leads DoorDash’s Third-Party Risk Management (TPRM) program, designing security strategies for vendors, automating risk processes, and governing AI governance frameworks to ensure compliance and proactive risk mitigation across logistics and delivery ecosystems.
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.
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.
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.
Build and maintain DoorDash’s high-performance traffic infrastructure, including Envoy-based data planes and xDS control planes, to ensure reliable, low-latency communication across thousands of services.
Lead firmware development for ARM-based microcontrollers in robotics, focusing on motion control, sensor integration, and safety-critical systems for DoorDash’s automation platforms.
Lead product strategy for DoorDash Air’s drone delivery autonomy, airspace, and UTM systems, integrating autonomous flight with DoorDash’s logistics platform and ensuring regulatory compliance.
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