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Software Development Manager - Navigation Intelligence, Geospatial

Amazon

Software Development Manager - Navigation Intelligence, Geospatial

Amazon

Austin, TX, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$184,900 - $250,200

Benefits & Perks

Collaborative environment

Parental leave

Competitive salary and bonus

Stock options

Development budget

401(k) matching

Parental Leave

Equity

Required Skills

Salesforce

SAP

SQL

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.
    Key job responsibilities
    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
    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

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

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Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge