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6 дней назад

Senior Software Engineer, Data Platform (Autonomous Vehicles)

125 000 - 234 100$
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

Senior Software Engineer, Data Platform (Autonomous Vehicles): Design & develop next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks with an accent on evolving petabyte-scale Data Lakes into Lakehouses. Focus on building self-serve capabilities, optimizing services for cost efficiency, performance & reliability, and owning e2e technical projects with major technical decisions.

Location: Hybrid - report to offices in Austin, TX; Bellevue, WA (Greater Seattle Area); or Mountain View, CA three times per week minimum. May be eligible for relocation benefits.

Salary: $125,000 - $234,100 base + bonus potential.

Company

hirify.global, pursuing a vision of Zero Crashes, Zero Emissions, and Zero Congestion through autonomous vehicle technology.

What you will do

  • Design & develop distributed ML data platform using GCP and open-source frameworks for ingestion, processing, and serving.
  • Collaborate with ML & Data Engineers to translate needs into requirements and build self-serve capabilities.
  • Own end-to-end technical projects, make major decisions, and contribute to strategic roadmap.
  • Champion engineering excellence by improving systems, processes, code reviews, and design discussions.
  • Conduct technical interviews, onboard new hires, and mentor junior engineers.

Requirements

  • BA/BS in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent experience.
  • 7+ years building petabyte-scale distributed data platforms, evolving Data Lakes into Lakehouses on cloud providers.
  • Expert proficiency in Java, C++, or Python for designing/implementing robust distributed systems.
  • Expertise in Data Processing Frameworks (Beam, Spark) and serving layers for high-throughput, low-latency.
  • Experience optimizing services for cost, performance, reliability; microservices architecture and full operational lifecycle.

Nice to have

  • Familiarity with full ML model lifecycle (feature engineering, training, validation, deployment, monitoring).
  • Experience with (100+) petabyte-scale architectures and SQL engines/queries.
  • Passion for self-driving technology.

Culture & Benefits

  • Health benefits: medical, dental, vision, HSA, FSA.
  • Retirement savings plan, life insurance, paid vacation & holidays, tuition assistance.
  • Employee assistance program, GM vehicle discounts, sickness/accident benefits.
  • Inclusive workplace focused on belonging, equity, and driving meaningful change.

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