---
title: Principal Architect, Accelerated Computing at NVIDIA
description: NVIDIA is hiring for the Principal Architect, Accelerated Computing role in Santa
  Clara, CA. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/principal-architect-accelerated-computing-at-nvidia-01a163f1-bc9b-78b8-b136-11fcc3e4d6b8
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Principal Architect, Accelerated Computing in Santa Clara, CA.
  Pays $272K–$431.2K per year. Full-time role.
og_image: https://www.foundrole.com/og/rluuq9.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $272K/yr - $431.2K/yr |
| **Type** | Full Time |
| **Posted** | Oct 20, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $197,000 – $290,000 a year (median $236,000).

## Description

We are now looking for a Principal Accelerated Computing Architect!

NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

**What you'll be doing:**

- Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
- Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
- Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
- Actively leading and collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
- Diving into accelerated computing applications to facilitate software-hardware co-design.
- Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

**What we need to see:**

- An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
- 12+ years of relevant work experience
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- A passion for performance optimization.
- Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
- Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.
- Familiarity with Python is a plus.
- Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
- Experience benchmarking, profiling characterizing workloads on GPU and CPU clusters.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.

#ArchitectYourFuture

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
## Skills

- C
- GPU Computing
- Numerical Analysis
- CPU/Processor Architecture
- Patents
- Software Design
- Performance Optimization
- Problem Solving
- Python
- Co-Design
- Linear Algebra
- Prioritization
- Algorithms
- Threading (Machining)
- Time Management
- Benchmarking
- OpenCL
- Presentation Skills
- C++
- Hardware Design
- GPU (Graphics Processing Unit)
- NVIDIA CUDA
- Computer Engineering
- Performance Profiling
- Unix
- Computer Science
- Organizational Skills
- Data Structures
- Node.js
- Electrical Engineering
- Communication
- Writing
- Blog Posts

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