NVIDIA is seeking a Solutions Architect to join its dynamic team as a senior-level technical advisor, focusing on the design and deployment of large-scale AI and HPC GPU infrastructure. This role involves collaborating with NVIDIA Cloud Partners to implement innovative hardware and software solutions, aligning strategies across various teams, and driving customer engagements from initial design through production. The ideal candidate will have extensive experience in deploying large-scale cluster environments and hands-on expertise with Deep Learning frameworks like PyTorch and TensorFlow, as well as proficiency in Python programming. Practical knowledge of NVIDIA GPUs, software libraries, and cloud platforms such as AWS, Azure, and GCP is essential, along with familiarity with GPU systems technology including NCCL and DCGM. This position offers the opportunity to work on cutting-edge AI projects that address critical business needs for strategic customers.
Drive the design and deployment of large-scale AI/HPC GPU infrastructure for strategic customers.
Integrate libraries, frameworks, models, and software applications to support next-gen GPU platforms.
Own end-to-end technology solution integration with key customers, offering product strategy recommendations.
Conduct regular technical customer meetings to discuss project details, new technologies, and debugging issues.
Prepare and deliver technical content such as presentations, workshops, and reference architectures to customers.
What we're looking for
10+ years of experience in Solution Engineering or similar roles with direct customer/partner interaction.
Strong background in designing and deploying large-scale distributed Cloud architectures.
Expertise in Python programming and Deep Learning frameworks like PyTorch and TensorFlow.
Practical skills in fine-tuning models, integrating software stacks, and driving GPU platform consumption.
Proven experience with NVIDIA GPUs, libraries, frameworks, and foundation models.
Hands-on expertise with scaled AI cloud environments (AWS, Azure, GCP) and on-premises/hybrid infrastructure.
Proficiency in large-scale AI model training/deployment, including GPU systems and cluster orchestration.
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
85%
of similar roles. Most pay
$156,100–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$196k
for comparable roles.
Based on 239 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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.
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