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52 минуты назад

Principal ML Systems Engineer (Autonomous Vehicles)

233 400 - 339 650$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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

Principal ML Systems Engineer (Autonomous Vehicles): Designing and developing a next-generation distributed ML data platform for autonomous vehicle technology with an accent on ingestion, processing, and serving layers. Focus on building performant multi-cloud architectures, optimizing petabyte-scale data pipelines, and ensuring system reliability.

Location: Hybrid; Must be based in or be able to relocate to Austin, TX, Mountain View, CA, or the Greater Seattle Area

Salary: $233,400 - $339,650

Company

A global automotive leader pursuing a vision of zero crashes, zero emissions, and zero congestion.

What you will do

  • Design and develop a next-generation distributed ML data platform using GCP and open-source frameworks.
  • Lead the strategy for building performant and efficient multi-cloud platforms.
  • Collaborate with ML and Data Engineers to translate technical pain points into self-serve capabilities.
  • Own major technical decisions and tradeoffs for end-to-end technical projects and the strategic roadmap.
  • Champion engineering excellence by continuously improving operational systems and processes.
  • Mentor junior engineers, conduct technical interviews, and lead design discussions.

Requirements

  • 10+ years of experience building distributed data platforms using major cloud providers.
  • Expert-level proficiency in Java, C++, or Python.
  • Expertise in Data Processing Frameworks (Beam, Spark) and low-latency serving layers.
  • Experience with petabyte-scale (100+ PB) ingestion, processing, and serving architectures.
  • Deep understanding of the full ML model lifecycle from feature engineering to monitoring.
  • Must not require immigration sponsorship now or in the future.

Nice to have

  • Master's degree in Computer Science, Software Engineering, or a related field.
  • Experience in self-driving, ADAS, or connected vehicle data domains.
  • Familiarity with robustness, validation, and simulation for ML systems in autonomous driving.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance with HSA and FSA options.
  • Retirement savings plan, paid vacation, and holidays.
  • Tuition assistance and employee assistance programs.
  • Eligibility for a company vehicle evaluation program.

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