Senior Accelerated Computing Architect

Nvidia

Actively hiring
Santa Clara, US Posted 22 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

As a Senior Accelerated Computing Architect at NVIDIA, you will join a dynamic team focused on developing cutting-edge software and system architectures for high-performance computing, scientific computing, machine learning, AI, data centers, and automotive applications. Your role involves conducting in-depth analysis and optimization of NVIDIA GPUs to ensure peak performance, creating optimized parallel algorithms and reference codes, and collaborating closely with hardware design, software engineering, product, and research teams to guide the direction of accelerated computing initiatives. You will also engage in co-design efforts by diving into various applications and communicating your findings through white papers, conference presentations, blog posts, and patents. To excel in this position, you should have an MS or Ph.D. in Computer Science, Engineering, or a related field, with extensive experience in GPU programming using CUDA or OpenCL, strong knowledge of C/C++, and familiarity with Python, MPI, and Unix IPC APIs.

Skills

CUDA C++ C MPI OpenSHMEM Python Linux GPU CPU Benchmarking Profiling IPC_APIs OpenCL NVSHMEM

What you'll do

  • Perform in-depth analysis and optimization for NVIDIA GPUs to ensure peak performance.
  • Create and optimize core parallel algorithms, data structures, and reference codes for GPUs.
  • Analyze hardware-software interactions on algorithms, programming models, and applications.
  • Guide accelerated computing direction by collaborating with cross-functional teams.
  • Dive into accelerated computing applications to facilitate software-hardware co-design.

What we're looking for

  • MS or Ph.D. in Computer Science, Engineering, or equivalent experience.
  • 6+ years of relevant work experience in accelerated computing.
  • Expertise in GPU programming models (CUDA/OpenCL) and multi-node communication APIs.
  • Strong knowledge of C/C++ with understanding of software design and algorithms.
  • Experience in performance optimization and benchmarking on GPU/CPU clusters.
  • Excellent problem-solving, communication, and organizational skills.

Market check

Salary context

This $184,000–$287,500 range sits above 83% of similar postings on FindRole.

Peer median band

$162,050–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$167,900–$235,750

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 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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