SDE: Autonomous Last-Mile Cloud & ML Platform

Socket.dev

Bellevue (WA)

On-site

USD 144,000 - 194,000

Full time

6 days ago
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Benefits offered by this job

RSUs
Health insurance
401(k) matching

Job summary

Amazon in Bellevue, WA is seeking a Software Development Engineer to build distributed systems across the vehicle-to-cloud data path. You will work on sensor-data processing, ML infrastructure, fleet health, route and ODD services, and software-release controls.

You will own services end-to-end, from design to deployment and operations, collaborating with autonomy, hardware, safety, and product teams to enable safe, scalable autonomous delivery testing.

Qualifications

  • 3+ years of non-internship software development experience.
  • 2+ years in design/architecture of large systems.
  • 1+ years building distributed software/applications.
  • Bachelor's degree in CS/Engineering or related field.

Responsibilities

  • Design, implement, and operate distributed services for high-volume vehicle data.
  • Build self-service infra for model training, dataset/versioning, replay and eval.
  • Develop fleet operations services for health, diagnostics, readiness and deployment.
  • Create route/ODD-aware services linking testing with last-mile systems.
  • Ensure secure, observable interfaces between vehicles, edge, cloud, and tools.
  • Collaborate with autonomy, hardware, safety, ops, and product teams.
  • Own full software lifecycle from design to production support.
  • Contribute to design reviews and evolve greenfield systems.

Skills

Distributed systems
OO design
C#, C++, Java
Software design

Education

Bachelor's degree in CS/Engineering

Job description

Amazon in Bellevue, WA is seeking a Software Development Engineer to build distributed systems across the vehicle-to-cloud data path. You will work on sensor-data processing, ML infrastructure, fleet health, route and ODD services, and software-release controls.

You will own services end-to-end, from design to deployment and operations, collaborating with autonomy, hardware, safety, and product teams to enable safe, scalable autonomous delivery testing.

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