8,183 Logistics jobs
Open tech roles at companies in logistics and supply chain.
Software Engineer, Machine Learning Platform - Gen AI
Engineer on DoorDash's GenAI Platform team building production ML infrastructure: real-time GPU serving and high-throughput batch inference for open-weight LLMs/VLMs, plus fine-tuning (SFT/DPO/LoRA), LLM Gateway, evals, guardrails and cost attribution. Core stack: Python, distributed systems, GPU inference engines, Kubernetes, AWS/GCP.
Software Engineer, ML Serving Platform
Builds and operates DoorDash's ML serving platform — request routing, online feature retrieval, and model inference on CPU/GPU infrastructure handling tens of millions of predictions per second. Day to day: designing and rolling out services in backend languages like Java/Kotlin/Go while improving Kubernetes autoscaling, reliability, and self-serve tooling for internal ML teams.
Business Systems Analyst, Procure-to-Pay
DoorDash is hiring a Business Systems Analyst on its Business Technology Procure-to-Pay team to configure, support, and improve finance systems like Coupa, Zip, and IntelAgree. Day to day, they handle system requests and incidents, translate Finance partners' needs into requirements and designs, build automations and integrations (including AI tooling), and keep processes SOX-compliant.
Engineering Manager, Merchant Knowledge Platform
Engineering Manager leading DoorDash's Merchant Knowledge Platform team, which serves merchant, store, menu, and catalog data to experiences across DoorDash, Wolt, and Deliveroo. The role owns technical direction and roadmap, guides large-scale distributed-systems design, and coaches engineers. Hybrid role requiring presence in the New York metro area.
Senior Machine Learning Engineer, Drive
Senior ML Engineer on DoorDash's Drive team, owning end-to-end machine learning systems for delivery ETA, merchant prep-time, and order release prediction, plus logistics optimization and AI quality signals built with deep learning, reinforcement learning, and LLMs/VLMs. On-site in San Francisco, Sunnyvale, or Seattle.
Senior Machine Learning Engineer, New Verticals Agentic Foundations
Senior ML engineer on DoorDash's Agentic Foundations team building and improving LLM-powered agents (starting with the Ask grocery assistant) via an eval-driven loop — iterating on prompts, tools, and context, and fine-tuning/deploying small language models to balance quality, latency, and cost, while launching new agent experiences for merchants and dashers.
Senior Software Engineer, Machine Learning
Senior ML engineer on DoorDash's grocery/retail catalog team, designing, training, deploying and monitoring production machine learning models that keep the product knowledge graph accurate and semantically rich. Core stack includes PySpark, Snowflake SQL, PyTorch/scikit-learn-style frameworks, and AI coding tools like Claude Code and Cursor.
Staff Machine Learning Engineer, Fulfillment Planning
Staff ML engineer on DoorDash's Fulfillment Planning team, building large-scale production ML systems for real-time delivery assignment, routing, and fulfillment/ETA estimation across the logistics network. Day-to-day spans Python, deep learning frameworks, optimization, and ML governance, plus mentoring and setting technical direction.
Staff Machine Learning Engineer, Personalization
Staff ML engineer building production personalization and growth models for DoorDash's consumer search across grocery and retail categories, partnering with product teams and mentoring juniors. Core work centers on Python ML (PyTorch/TensorFlow), causal inference, recommendation systems, and AI coding tools in a hybrid SF/Sunnyvale setup.
Staff Software Engineering, Backend (All Teams)
DoorDash is hiring Staff Backend Engineers across Product and Product Platform teams to build large-scale, highly available systems for its three-sided delivery marketplace. The role involves setting technical direction, defining backend architecture, and driving the transition from monolith to microservices using REST APIs, SQL/NoSQL stores (Postgres, Redis, Elasticsearch, RabbitMQ), and AI codin
Staff Software Engineer, Machine Learning
Builds and ships machine-learning models and optimization algorithms (budget pacing, automated bidding) for DoorDash's ads platform and catalog/product knowledge graph, owning the end-to-end ML lifecycle from training through deployment, experimentation, and monitoring. Hybrid role using PyTorch, PySpark, and Snowflake.
Associate Manager - Tax Data Engineer
Data engineer on DoorDash's Tax Data Mart team who designs, builds, and operates scalable ETL/ELT pipelines and warehouse models powering tax analytics and reporting. Core stack includes SQL with Snowflake, Python, dbt, and orchestration tools like Airflow, Spark, or Kafka, plus AI-assisted tooling such as Claude and Cursor.
Software Engineering, Android (All Teams)
Android engineer at DoorDash building and maintaining the consumer-facing mobile app that powers its three-sided delivery marketplace. Day to day: shipping product features, refactoring the codebase, solving real-time data sync problems, extending APIs, and writing unit tests using the Android SDK.
Staff Security Engineer, Security Enablement
Staff security engineer on DoorDash's Global Safety & Security team, designing and delivering multi-domain security services spanning physical security systems (PACS/VMS), identity and access management, and the AWS cloud/network infrastructure beneath them. The role owns architecture, integrations, delivery plans, and executive status reporting for large cross-team programs.
Software Engineer, ML Infrastructure (MDX)
Software engineer on DoorDash's MDX team building the agentic layer of its ML infrastructure: systems that let AI agents run modeling experiments, auto-research ideas, and self-heal ML pipelines for engineers across DoorDash, Wolt, and Deliveroo. Core work spans backend Python, distributed systems, agent orchestration, evaluation, and observability.
Product Manager Airspace & Autonomy - DoorDash Air
Owns end-to-end product strategy for DoorDash Air's autonomous drone delivery program — spanning the autonomy stack, UTM/airspace management, mission planning, fleet operations, and integration with the DoorDash logistics marketplace. Requires deep experience in autonomous systems, FAA regulations (Part 107/135/108, BVLOS), and ASTM UTM standards.
Radio Frequency Hardware Engineer - DoorDash Air
Senior RF hardware engineer on DoorDash Labs' robotics team (DoorDash Air), designing, simulating, and testing RF/mixed-signal PCBAs for autonomous delivery platforms, with a focus on EMI/desense mitigation and wireless systems (LTE, 5G NR, Wi-Fi, GNSS, UWB). On-site in San Francisco 5 days a week.
Staff Software Engineer, Planner
Staff engineer on DoorDash Labs' autonomy team, building real-time behavior and motion planning software (trajectory optimization in C++) for autonomous delivery robots, plus simulation/validation frameworks to eliminate planner failures. Remote within the US; salary $198,600–$292,000.
Software Engineer, Reliability Platform
Software engineer on DoorDash's Reliability Platform team, building mission-critical backend services and infrastructure for SLO measurement, incident management, and an internal SRE agent powered by agentic AI (including MCP). Core stack: Go, AWS, containers, and Infrastructure as Code with Terraform or Pulumi.
Engineering Manager, Personalization
Leads DoorDash's Personalization engineering team, managing ML engineers to build ranking and recommendation systems—including an intent agent, semantic understanding, multi-vertical blending, and real-time ranking—using LLMs and deep learning (GNN, MTL, Transformers). Onsite leadership role in San Francisco or Sunnyvale.