Senior Developer Technology Engineer, High-Performance Databases

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 72 days ago $152,000$241,500 / year

At a glance

AI generated

TL;DR

Join NVIDIA’s Developer Technology Team as a Senior Developer Technology Engineer and contribute to accelerating high-performance databases and ETL applications on modern GPU architectures. You will collaborate with industry and academic experts to analyze and optimize complex data-intensive workloads, influencing the design of next-generation hardware and software solutions. This role requires a Master's or PhD in Computer Science or related field, along with extensive experience in parallel programming using CUDA, OpenACC, and other tools. Expertise in CPU/GPU architecture, high-performance databases, ETL, and data analytics is essential, as is proficiency in C/C++ and strong problem-solving skills. Experience optimizing distributed database systems and frameworks will be highly beneficial, as you tackle the growing challenge of data preprocessing bottlenecks in ML and DL applications.

Skills

C CUDA OpenACC OpenMP MPI pthread TBB SQL Spark PostgreSQL Hadoop Docker Kubernetes CI/CD Prometheus Grafana Git Python Go

What you'll do

  • Research and develop techniques to accelerate high-performance databases using GPUs.
  • Analyze and optimize complex data-intensive workloads for current GPU architectures.
  • Collaborate with experts to influence the design of next-generation hardware and software.
  • Investigate and optimize memory management and parallel algorithms on multi-GPU systems.
  • Optimize performance of distributed database systems and frameworks like Spark.
  • Enhance compression, storage, networking, and distributed computing in data analytics.

What we're looking for

  • Masters or PhD in Computer Science, Engineering, or related field with 5+ years experience.
  • Proficient in C/C++ and deep understanding of algorithms and software design.
  • Hands-on experience with parallel programming techniques like CUDA, OpenACC, MPI.
  • Expertise in CPU/GPU architecture fundamentals, focusing on memory subsystems.
  • Domain expertise in high performance databases, ETL processes, and data analytics.
  • Experience optimizing distributed database systems and frameworks for production use.

Market check

Salary context

This $152,000–$241,500 range sits above 60% of similar postings on FindRole.

Peer median band

$141,900$215,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,400$217,725

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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