Senior Application Engineer - Big Data

Invidia

Multiple Locations
Apache spark application development
Big data processing frameworks
Gpu acceleration for spark
You will serve as a lead application architect defining reference architectures for accelerated Apache Spark applications across major industry verticals

Job Summary

  • You will serve as a lead application architect defining reference architectures for accelerated Apache Spark applications across major industry verticals.
  • The role involves close collaboration with NVIDIA engineering teams, customers, partners, and cloud service providers to accelerate big data workloads using GPUs.
  • NVIDIA offers highly competitive salaries, comprehensive benefits, and fosters a diverse and inclusive work environment.

Matching Summary

You will serve as a lead application architect defining reference architectures for accelerated Apache Spark applications across major industry verticals.

Skills & Requirements

Must-have

  • Apache Spark application development
  • Big data processing frameworks
  • GPU acceleration for Spark
  • Python, Scala, Java or SQL programming
  • Customer-facing technical communication
  • Multi-functional team collaboration

Nice-to-have

  • Cloud platform experience (AWS, Azure, GCP, Aliyun)
  • Open source project committer experience
  • Problem solving and performance tuning
  • Engagement with open source communities
  • Time management and multitasking

Key Requirements

  • BS, MS, or PhD in Computer Science or related field
  • 12+ years software development experience
  • Experience with big data open source ecosystem
  • Strong programming skills manipulating data frames
  • Customer-facing communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter