Senior Application Engineer - Big Data

Application EngineerApplication EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

China

Posted

125 days ago

Salary

0

Seniority

Senior

Job Description

Senior Application Engineer - Big Data

NVIDIA

• Serve as a lead application architect in RAPIDS Accelerator for Apache Spark • Define reference architecture of accelerated Apache Spark applications for major industry verticals • Lead the technical engagement with select customers and partners to accelerate Apache Spark applications with GPUs • Work closely with NVIDIA Spark engineering teams in architecture design and system implementations • Partner with Solution Architects to understand customer’s existing big data and ML/DL solution architecture • Conduct regular technical customer meetings for project/product roadmap, feature discussions, customer issue resolution and performance tuning • Build and work on the PoC for solutions that address customer’s critical business needs • Develop applications to promote best practices for accelerated data analytics and machine/deep learning in various industry verticals • Build tools to analyze data processing workloads to find opportunities for acceleration and cost savings • Work with major cloud service providers and Apache Spark vendors globally • Engage open source communities, including Apache Spark and RAPIDS, for technical discussions and contributions

Job Requirements

  • BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field
  • 12+ years of work or research experience in software development
  • Excellent programming skills for manipulating data frames in Python, Scala, Java or SQL
  • Strong problem solving skills coupled with customer-facing communication skills
  • Knowledge of open source big data open source ecosystem (Apache Hadoop, Spark, Hive, Presto, Airflow, Kafka, etc)
  • Able to work successfully with multi-functional teams across organizational boundaries and geographies
  • Excellent at communicating, presenting and explaining technical topics
  • Efficient time management skills, capable of balancing multiple tasks

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package

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