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Home›Jobs›Amazon›Software Development Engineer, Geospatial
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Software Development Engineer, Geospatial

Amazon • Hyderabad, Telangana, IND

Posted 11 months ago🏛️ On-SiteMid-LevelSoftware engineering📍 Hyderabad
Apply Now →

Job Description

The Amazon Last Mile Geospatial team builds systems that model the real world to enable routing for drivers. We build, maintain and vend base map data, road network data, map tiles, geocodes of addresses and time estimates for service as well as transit times. We also provide a shortest path service to find fastest paths between locations and a service to optimize consolidation of stops. Together these systems help us get better at determining the locations that we go to deliver packages, figure out how to get to those locations and to estimate the effort of delivery for planning.

While it may be easy to say “Why build yet another Maps?” as a first reaction, as we go deeper into our problems, the answer becomes increasingly clear and challenging. We are building systems that enable depth focused solutions. For example, we are interested in not only getting a person to an address like 300 Boren Ave N, we are also interested in helping them find out if there is a mailing room in the building and if there is, helping them navigate quickly to that mailing room. We are also interested in accurately estimating how long it would take to arrive at the address, find the mailing room and drop a package there. We will incorporate the ability to leverage mass transit, multiple modes of transportation and traffic awareness to find the most efficient paths for our drivers. We are also interested in making it easy to calculate paths on cheap mobile devices or in simplifying the process to find an efficient path to cover hundreds of delivery points. Several of these problems require us in building systems that can work with an ensemble of models as well as support the right segmentation of inputs to make good estimates on the outputs.

There are several unsolved or partially solved problems in this space such as automatically adding new roads detected from sensor/video data into the larger road graph, deterministically detecting if a new road is in fact just a modification to an existing road (such as a change in curvature of an existing road due to a new sidewalk), accurately determining the bearing of a person when they start traveling leveraging only a single and single IMU sensor source, parsing unstructured addresses such as in countries like India, processing alternate solutions within microseconds on a mobile device without talking to a backend service and so on. The right person for this space would enjoy working in a space that requires constantly pushing both the research and technology boundaries to unlock solutions to such problems.

Our key output metrics include location accuracy, coverage and accuracy of our road network for routing and users to the correct location, predictive accuracy of service and transit estimates. We also measure the operational impact of these inputs on delivery success and on the gaps between actual versus planned on-zone times, transit times and service times.

If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.


#lastmile #maps_intelligence #sensor_intelligence


Key job responsibilities

- Participate in the design, implementation, and deployment of successful large-scale systems and services in support of our fulfillment operations and the businesses they support.
- Participate in the definition of secure, scalable, and low-latency services and efficient physical processes.
- Work in expert cross-functional teams delivering on demanding projects.
- Functionally decompose complex problems into simple, straight-forward solutions.
- Understand system interdependencies and limitations.
- Share knowledge in performance, scalability, enterprise system architecture, and engineering best practices.- Bachelor's degree in computer science or equivalent
- 2+ years of non-internship professional software development experience
- 2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience building complex software systems that have been successfully delivered to customers
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

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.

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