Software Development Engineer, Last Mile Delivery Automation

Amazon • Bellevue, WA

5d

About The Position

Join Amazon's Last Mile Delivery Automation Team!

Are you ready to build the cloud infrastructure that powers connected delivery
vehicles? Join us in creating the systems that will enable safe, scalable
automated delivery across Amazon's logistics network!

The Last Mile Delivery Automation organization is pioneering automated delivery
solutions for Amazon Logistics (AMZL). Our Cloud Services & Operations Apps team
builds the critical backend infrastructure that enables safe, scalable automated
delivery operations - from semantic mapping pipelines to real-time fleet
telemetry, from ODD management platforms to ML training infrastructure.

The challenge is fascinating: we're building systems that transform raw sensor
data from vehicles into lane-level semantic maps, distribute real-time updates
across fleets in under a minute, and provide operational visibility into
thousands of connected delivery vehicles. Our platforms process TB-scale sensor
data, coordinate multi-vehicle data collection, and power the ML pipelines that
train perception models - all while maintaining Amazon's highest standards for
safety and reliability.

As a Software Development Engineer on our Cloud Services & Operations Apps team,
you'll build the backbone that enables automated delivery at scale. You'll
create data pipelines that ingest and process multi-modal sensor data, develop
mapping systems that fuse perception outputs into semantically-rich maps, and
build operational tools that give engineers and operators real-time visibility
into fleet health and performance.

What Makes This Role Exciting:

- Build Critical Infrastructure: Create the cloud systems that connected
delivery vehicles depend on - mapping pipelines, telemetry platforms, ODD
management, and fleet coordination services

- Work at the Intersection of ML and Systems: Build pipelines that transform
perception model outputs into persistent semantic maps using transformer-based
fusion algorithms

- Real-World Scale and Impact: Your systems will process sensor data from
hundreds of vehicles, distribute map updates fleet-wide, and power the tools
operators use to ensure safe automated delivery operations

- Greenfield Development: Help architect and build new systems from the ground
up - mapping storage, data labeling platforms, ODD visualization tools, and ML
training infrastructure

- End-to-End Ownership: Own complete systems from data ingestion to
visualization, from offline batch processing to real-time streaming

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with geospatial data, mapping systems, or location-based services
• Experience with ML infrastructure (training pipelines, model serving, data labeling platforms)
• Familiarity with sensor data processing (camera, LiDAR, telemetry)

Responsibilities

• Design and build data pipelines for ingesting and processing multi-modal sensor data from connected vehicle 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 visualization dashboards for fleet monitoring and system health
• Create operational tools that 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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level