Software Development Manager, Navigation Intelligence
Amazon
Job Overview
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Job Description
Software Development Manager - Navigation Intelligence, Geospatial
Build production AI at the intersection of LLMs, edge ML, and sensor fusion — Navigation Intelligence that directly impacts the safety and experience of millions of Amazon transporters every day.
We're seeking a Software Development Manager to lead the Navigation Intelligence team in Austin. The team owns the navigation experience in Amazon's delivery associate app, building a hybrid on-device/cloud AI architecture that combines low-latency on-device inference with fleet-wide pattern analysis and LLM-powered contextual guidance. This is production AI at scale: billions of requests monthly, safety-critical latency requirements, and direct impact on transporter safety and experience.
The SDM will lead a team of software engineers building systems that analyze transporter behavior patterns to anticipate navigation issues before they occur, deliver clear and natural guidance through LLM-optimized directions, and provide context-aware error handling that replaces cryptic messages with actionable insights. The role requires balancing on-device constraints (battery, compute, memory) with cloud capabilities (scalability, ML pipelines, LLM services) while ensuring every feature ships with transporter safety as the top priority.
Key Responsibilities Include:
- Leading a team of software engineers building navigation systems used by millions of transporters globally
- Driving technical strategy for hybrid on-device/cloud AI architecture with low latency requirements
- Partnering with routing optimization teams, platform/operations teams, and Science teams to deliver integrated navigation experiences
- Working with route planning teams and Safety teams who depend on navigation accuracy metrics
- Owning problem domains including pre-trip intelligence, real-time traffic detection and rerouting, location accuracy through sensor fusion, arrival/parking guidance, and alert prioritization
- Managing technical roadmaps that balance innovation with operational stability
- Developing engineering talent and building high-performing teams
- Writing narratives and influencing VP-level technical decisions
The technical environment includes on-device development (iOS/Android, sensor fusion, edge ML models), cloud services (AWS, distributed systems, ML pipelines, LLM integration), and real-time streaming architectures. Scale includes billions of navigation requests monthly, 22.5B+ daily route calculations from upstream routing services, and global deployment across diverse geographies and network conditions.
Amazon's Geospatial teams operate with a safety-first culture. The environment requires someone who can ship production AI systems at scale, is comfortable navigating ambiguity and cross-team dependencies, and is passionate about applying emerging AI capabilities to hard, real-world problems. This role reports to a Senior Software Development Manager within the Geospatial organization.
About The Team
The Navigation Intelligence team owns the navigation experience in Amazon's delivery app, used by millions of transporters globally. We build the systems that guide transporters from stop to stop — turn-by-turn directions, hazard detection, rerouting, parking guidance, and contextual alerts that reduce cognitive load during delivery. Our metrics directly impact transporter safety and delivery performance.
BASIC QUALIFICATIONS
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience designing native mobile experiences (iOS, Android, and Kindle) and mobile-optimized websites
PREFERRED QUALIFICATIONS
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Knowledge of UX and/or CX design and usability
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 184,900.00 - 250,200.00 USD annually
Company - Amazon.com Services LLC
Job ID: A3166768
Key skills/competency
- Software Development Manager
- Navigation Intelligence
- Geospatial AI
- LLM Integration
- Edge ML
- Sensor Fusion
- Mobile Development (iOS/Android)
- AWS Cloud Services
- System Architecture
- Team Leadership
How to Get Hired at Amazon
- Tailor your resume: Highlight experience in team management, system design, and mobile development. Quantify achievements related to AI and large-scale systems.
- Craft a compelling cover letter: Express your passion for AI, navigation technology, and improving transporter safety. Showcase your leadership philosophy and alignment with Amazon's culture.
- Prepare for technical interviews: Brush up on system design, AI/ML concepts, distributed systems, and mobile development (iOS/Android). Be ready to discuss your experience with LLMs and edge computing.
- Showcase leadership and collaboration: Be prepared to discuss how you've managed engineering teams, driven technical strategy, and partnered with cross-functional groups. Highlight your ability to influence decisions at a VP level.
- Understand Amazon's culture: Research Amazon's leadership principles, particularly 'Bias for Action', 'Invent and Simplify', and 'Dive Deep'. Emphasize your customer obsession and commitment to safety.
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