Software Development Engineer, Last Mile Delivery

Amazon • Bellevue, WA

5d

About The Position

Join Amazon's Last Mile Delivery Automation Team!

Are you ready to lead the architecture of cloud infrastructure that powers
connected delivery vehicles? Join us in designing and building 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 Senior Software Development Engineer on our Cloud Services & Operations
Apps team, you'll own the technical architecture of systems that enable
automated delivery at scale. You'll lead the design of complex distributed
systems, drive cross-team technical decisions, and mentor engineers while
building the data pipelines, mapping systems, and operational tools that power
our connected vehicle fleet.

What Makes This Role Exciting:

- Own Technical Architecture: Lead the design and architecture of critical
systems - mapping pipelines, telemetry platforms, ODD management, and fleet
coordination services that connected delivery vehicles depend on

- Drive Complex System Design: Architect solutions for challenging problems like
multi-vehicle map fusion, real-time fleet telemetry at scale, and ML training
infrastructure that processes TB-scale sensor data

- Cross-Team Technical Leadership: Collaborate with perception, planning, and
operations teams to design cohesive system architectures. Influence technical
direction across organizational boundaries.

- Greenfield Architecture: Design foundational systems from scratch - make key
technology choices, define service boundaries, and establish patterns that will
scale with the business

- Force Multiply: Mentor engineers, simplify complex systems, drive operational
excellence, and establish engineering best practices for a growing team

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Nice To Haves

• 5+ 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 coordinating between technical teams, peers and business stakeholders
• Experience with geospatial data, mapping systems, or location-based services
• Familiarity with sensor data processing (camera, LiDAR, telemetry)

Responsibilities

• Lead technical architecture and design for data pipelines, mapping systems, telemetry platforms, and operational tools
• Design and implement complex distributed systems for processing multi-modal sensor data from connected vehicle fleets
• Own end-to-end system architecture for mapping pipelines including data fusion, spatial indexing, version control, and fleet-wide distribution
• Drive cross-team technical decisions and influence architecture across related teams (perception, planning, operations)
• Mentor engineers and establish engineering best practices for system design, code quality, and operational excellence
• Proactively identify and resolve architectural deficiencies, simplify systems, and reduce technical debt
• Lead integration of parallel workstreams and coordinate complex multi-system deliverables
• Collaborate with ML teams to architect training infrastructure, data labeling platforms, and model deployment pipelines

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