Назад
3 дня назад

Staff Software Engineer (Simulation Realism)

251 000 - 310 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (Simulation Realism): Building and optimizing scalable data generation and management platforms for autonomous driving simulation with an accent on high-fidelity multi-modal sensor data processing. Focus on designing robust data lifecycle strategies, improving system scalability, and collaborating on the long-term architecture of the simulation data ecosystem.

Location: Onsite in Mountain View, California

Salary: $251,000–$310,000 USD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

  • Design and develop scalable C++ and Python software systems for data generation and management.
  • Build and optimize data pipelines for processing, labeling, and curating large-scale multi-modal sensor data.
  • Implement robust data lifecycle management, versioning, and storage solutions.
  • Improve the performance, reliability, and scalability of the core data platform.
  • Collaborate with engineers and researchers to define and build effective data APIs and interfaces.
  • Contribute to the long-term architecture of the simulation data ecosystem.

Requirements

  • BS or MS in Computer Engineering, Computer Science, or equivalent.
  • 7+ years of experience in software development, focusing on backend or infrastructure.
  • Strong coding and design skills in C++ and/or Python.
  • Experience with large-scale data processing systems such as Flume, Beam, or Spark.
  • Experience with databases, data warehousing, and production monitoring.
  • Ability to solve open-ended technical and system design challenges.

Nice to have

  • Experience building data platforms, data lakes, or ML feature stores.
  • Familiarity with data management best practices for machine learning.
  • Experience with large-scale multi-modal data.
  • Experience developing user-facing APIs and interfaces.

Culture & Benefits

  • Participation in the discretionary annual bonus program.
  • Equity incentive plan eligibility.
  • Comprehensive company benefits program.
  • Opportunity to work on industry-leading autonomous driving technology.
  • Collaborative environment with software engineers, ML engineers, and data scientists.

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