Software Engineer, Data Platform (autonomous Vehicles)

Franmarbuscompany

Austin, TX, USA
Base: $95,200 - $156,150; bonus/equity: incentive ...
Hybrid
Petabyte-scale distributed data platforms
Gcp and open-source frameworks
Java, c++, or python expertise
Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks

Job Summary

  • Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks.
  • Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption.
  • GM offers a variety of health and wellbeing benefit programs including medical, dental, vision, retirement savings plan, paid vacation & holidays, and more.

Matching Summary

Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks.

Salary

Base: $95,200 - $156,150; Bonus/Equity: Incentive pay program based on performance; Benefits: Health and wellbeing benefit programs

Skills & Requirements

Must-have

  • Petabyte-scale distributed data platforms
  • GCP and open-source frameworks
  • Java, C++, or Python expertise
  • Data Processing Frameworks (Beam, Spark)
  • Microservices architecture
  • Full operational lifecycle management

Nice-to-have

  • Full ML model lifecycle familiarity
  • Passion for self-driving technology
  • SQL engines / queries experience

Key Requirements

  • 3+ years building petabyte-scale distributed data platforms
  • BA or BS in Computer Science or equivalent experience
  • Expert-level proficiency in Java, C++, or Python
  • Experience implementing Data Processing Frameworks
  • Experience optimizing services for cost efficiency, performance & reliability
  • Experience with Microservices architecture

Work Rights

Not specified

Tailored Resume

Cover Letter