Senior Solutions Architect, Data Processing

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $236k
$136k most similar roles pay here $304k

This role pays more than 84% of similar roles. Most pay $156,525–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $196k for comparable roles.

Based on 240 similar postings.

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Data Processing

As a Senior Solutions Architect, Data Processing on the Solution Architecture Team, you will research and develop techniques to GPU-accelerate high performance database, ETL, and data analytics applications. You will collaborate with technical experts from industry and academia to perform in-depth analysis and optimization of complex data intensive workloads for current GPU architectures while influencing the design of next-generation hardware, software, and programming models. The role requires proficiency in C/C++ and deep knowledge of algorithms, software design, and CPU/GPU architecture fundamentals, specifically memory subsystems. You will utilize tools such as CUDA, OpenACC, OpenMP, MPI, pthreads, and TBB. Your work addresses the technical challenge of overcoming CPU-based bottlenecks in data preprocessing and engineering for machine learning applications by optimizing memory management, compression, and parallel algorithms like sort, search, join, and aggregation across multi-GPU systems.

What does a Solutions Architect earn in Remote?

Median $231100 from 71 postings across 13 companies.

See salary data

What you'll do

  • Research and develop techniques to GPU-accelerate high-performance database, ETL, and data analytics applications.
  • Perform in-depth analysis and optimization of complex data-intensive workloads on current GPU architectures.
  • Influence the design of next-generation hardware architectures, software, and programming models.
  • Collaborate with internal teams to improve memory management, compression, and parallel algorithms like sort and join.
  • Optimize database operators, query planners, and vector database index builds for distributed frameworks.
  • Profile and optimize CUDA kernels to eliminate performance bottlenecks in data processing pipelines.
  • Partner with industry and academic experts to push the boundaries of data processing using NVIDIA's product line.

What we're looking for

  • Master's or PhD in Computer Science, Computer Engineering, or a related computationally focused science degree or equivalent experience.
  • 8+ years of experience.
  • Programming fluency in C/C++ with a deep understanding of algorithms and software design.
  • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystems.
  • Domain expertise in high performance databases, ETL, data analytics, and/or vector database.
  • Good communication, organization, and logical problem-solving skills.
  • Hands-on experience with low-level parallel programming such as CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, or TBB.
  • Experience optimizing database operators, query planners, vector database indices, or CUDA kernels (preferred).

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