Senior Solutions Architect, AI

Nvidia

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $184,000–$287,500 / yr
Posted: 4 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k

This role $236k

$159k most similar roles pay here $301k

This role pays more than 64% of similar roles. Most pay $173,025–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $210k 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 950 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 939 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, AI

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As a Solutions Architect at NVIDIA's Higher Education and Research Team, you will collaborate with visionary researchers across universities and institutes to develop cutting-edge HPC and AI solutions using NVIDIA’s accelerated computing platform. Your day-to-day responsibilities include aligning technical roadmaps with evolving research strategies, architecting innovative workflows in computational physics and engineering simulation, and optimizing scientific applications for performance on GPU-accelerated systems. Ideal candidates possess a strong background in computational physics or related fields, along with extensive experience in parallel computing, Python and C++ programming, and NVIDIA’s AI and scientific tools such as PyTorch and JAX. This role demands expertise in profiling and optimizing complex workloads to enable groundbreaking research in areas like fluid dynamics and multiphysics simulation at scale.

Skills

Python C++ GPU programming NVIDIA Warp PyTorch JAX PhysicsNeMo HPC AI CI/CD Git Linux CUDA MPI Docker Kubernetes Prometheus Grafana PostgreSQL MongoDB

What you'll do

Partner with universities and research institutes to develop innovative HPC and AI solutions using NVIDIA's platform.
Align NVIDIA’s technical roadmap with evolving strategies of scientific and engineering communities.
Engage developers and researchers to architect groundbreaking solutions in computational physics and multiphysics simulation.
Help researchers transition from high-fidelity simulations to AI-enabled workflows, including surrogate models and real-time inference.
Profile and optimize performance of scientific applications and AI workloads on accelerated systems for maximum efficiency.

What we're looking for

BS, MS or PhD in a relevant field with 8+ years of experience in accelerated computing and GPUs
Expertise in porting and optimizing scientific/engineering applications for GPU platforms
Strong programming skills in Python and C++ with knowledge of AI at scale for scientific workloads
Familiarity with computational physics, engineering simulation workflows, and numerical methods
Experience supporting HPC, AI, and scientific computing workflows using NVIDIA tools and frameworks
Ability to profile and optimize performance of scientific applications and AI workloads on accelerated systems

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