Job Description
📍 Location: Bellevue, WA
💼 Employment Type: Full-Time
💰 Salary Range: $143,700 – $194,400 annually
🔹 About the Role
Join Amazon’s Last Mile Delivery Automation Team and help build the cloud infrastructure that powers connected delivery vehicles! Our Cloud Services & Operations Apps team is pioneering automated delivery solutions for Amazon Logistics (AMZL).
You’ll create critical backend systems that enable safe, scalable, automated delivery operations—from semantic mapping pipelines to real-time fleet telemetry, ODD (Operational Design Domain) management platforms, and ML training infrastructure.
This is a greenfield development opportunity: design, build, and own systems that process TB-scale sensor data, coordinate multi-vehicle data collection, and power ML pipelines that train perception models—all while maintaining Amazon’s highest standards of safety and reliability.
🌟 What Makes This Role Exciting
- Build Critical Infrastructure: Cloud systems supporting connected delivery vehicles, mapping pipelines, telemetry platforms, and fleet coordination services.
- ML + Systems Integration: Transform perception model outputs into lane-level semantic maps using advanced fusion algorithms.
- Real-World Scale: Process sensor data from hundreds of vehicles and distribute map updates fleet-wide.
- End-to-End Ownership: Take ownership from data ingestion to visualization, offline batch processing to real-time streaming.
- Greenfield Development: Architect new systems from the ground up—mapping storage, data labeling platforms, visualization tools, and ML training infrastructure.
💼 Key Responsibilities
- Design and build data pipelines for ingesting and processing multi-modal sensor data from connected fleets.
- Develop mapping systems that fuse perception outputs into lane-level semantic maps with spatial indexing and version control.
- Build real-time telemetry platforms and dashboards for fleet monitoring and system health.
- Create operational tools to provide engineers and operators visibility into vehicle performance and data quality.
- Collaborate with ML teams to build training infrastructure, data labeling platforms, and model deployment pipelines.
- Own services end-to-end: design, implementation, testing, deployment, and operations.
- Contribute to technical design discussions and architecture decisions for greenfield systems.
🔹 Basic Qualifications
- 3+ years of professional software development experience.
- 2+ years of experience in system design or architecture (design patterns, reliability, scaling).
- Experience programming with at least one modern programming language.
🔹 Preferred Qualifications
- Bachelor’s degree in Computer Science or equivalent.
- Experience with highly available distributed systems, large-scale data extraction, ingestion, and processing.
- Familiarity with geospatial data, mapping systems, or location-based services.
- Experience with ML infrastructure: training pipelines, model serving, and data labeling platforms.
- Knowledge of sensor data processing: camera, LiDAR, telemetry.
- Experience across the full software development lifecycle: coding standards, code reviews, source control, build processes, testing, and operations.
🌐 Why Amazon
- Work on cutting-edge automation technology at global scale.
- Collaborate with world-class engineers and ML experts.
- Enjoy comprehensive benefits: healthcare, 401(k) matching, parental leave, mental health support, and more.
- Participate in innovative projects with measurable impact on millions of customers worldwide.