Senior Developer Technology Engineer - AI

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 72 days ago $184,000$287,500 / year

At a glance

AI generated

TL;DR

Join NVIDIA’s Developer Technology Team as a Senior Developer Technology Engineer specializing in Artificial Intelligence. In this role, you will research and develop techniques to accelerate AI workloads on GPU architectures, collaborating with industry and academic experts to optimize complex algorithms for modern CPU and GPU systems. You’ll publish findings and present at conferences while influencing the design of next-generation hardware and software solutions. Ideal candidates hold a Master’s degree in Computer Science or related field, have 8+ years of experience, and are fluent in C/C++ with expertise in parallel programming (CUDA, OpenACC, etc.). Strong skills in low-level performance optimization, CPU/GPU architecture fundamentals, and linear algebra are essential, along with excellent communication abilities. This role is pivotal in advancing NVIDIA’s leadership in accelerated computing and supporting the Developer Community.

Skills

C CUDA OpenACC OpenMP MPI pthread Python GPU CPU Deep Learning Natural Language Processing Computer Vision Recommender Systems Linear Algebra CI/CD

What you'll do

  • Research and develop techniques to GPU-accelerate workloads in deep learning and machine learning.
  • Analyze and optimize complex AI and HPC algorithms for modern CPU and GPU architectures.
  • Publish and present optimization techniques at developer blogs or relevant conferences.
  • Influence the design of next-generation hardware architectures, software, and programming models.
  • Collaborate with research teams to advance NVIDIA’s leadership in accelerated computing.

What we're looking for

  • 8+ years of relevant work experience or research in AI and HPC.
  • Masters degree in Computer Science, Engineering, or related computational science.
  • Proficiency in C/C++ with expertise in parallel programming (CUDA, OpenACC).
  • Experience in low-level performance optimization for CPU/GPU architectures.
  • Deep understanding of linear algebra and its applications in AI models.
  • Strong communication and problem-solving skills for collaboration.

Market check

Salary context

This $184,000–$287,500 range sits above 74% of similar postings on FindRole.

Peer median band

$168,000$247,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000$246,150

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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