As a Solutions Architect at NVIDIA, you will join our dedicated team to assist large enterprises in developing and deploying AI and HPC solutions on a massive scale. Your day-to-day responsibilities include collaborating with Sales Account Managers and Developer Relations Managers to identify business opportunities, serving as the primary technical liaison for customers working on complex AI infrastructure projects, and conducting regular meetings to provide performance advice and debugging support. You will also build Proof of Concepts to address critical business needs and integrate NVIDIA technology into cloud services. The ideal candidate has over 8 years of experience in engineering roles with a focus on system architecture and performance tuning, hands-on experience with Deep Learning frameworks like PyTorch and JAX, as well as familiarity with NVIDIA’s hardware and software ecosystem including libraries such as TensorRT and RAPIDS. Additionally, you should be proficient in deploying solutions in cloud environments using DevOps tools like Docker and Kubernetes.
Develop and demonstrate AI/ML and HPC software solutions for tech giants using NVIDIA’s technology.
Identify business opportunities by partnering with Sales Account Managers and Developer Relations Managers.
Serve as the primary technical support for customers developing complex AI infrastructure projects.
Conduct regular technical meetings to provide performance advice, debugging assistance, and new technology introductions.
Build Proof of Concepts (PoCs) to address critical customer needs and integrate NVIDIA technology on hyperscalers.
Analyze and resolve customer performance issues related to both AI and systems performance.
What we're looking for
8+ years of engineering experience with performance/system/solution focus.
Expertise in building benchmarks and optimizing large-scale AI training and inference systems.
Deep understanding of AI accelerators, networking, and overall system architecture impact on application performance.
Strong program management skills for balancing multiple tasks effectively.
Proficiency with deep learning frameworks, compilers, and NVIDIA libraries including TRTLLM, TensorRT, Nemo, NCCL, RAPIDS.
Experience deploying solutions in cloud environments like AWS, GCP, Azure, OCI using DevOps/MLOps technologies.
Market check
Salary context
This
$184,000–$287,500
range sits above
85%
of similar postings on FindRole.
Peer median band
$156,475–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$160,837–$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.
Us, Ca, Santa Clara, US140 days ago
$184,000–$287,500
Kubernetes
SDN
InfiniBand
Python
Go
Rust
C++
Docker
CI/CD
Prometheus
Grafana
AWS
Azure
Google Cloud Platform
PostgreSQL
MySQL
Linux
Networking Operating Systems
Virtualization
Storage
AI
Deep Learning
Remote (3900 N Capital Of Texas Hwy, Austin, Tx, Usa, US)85 days ago
$180,200–$297,200
C
C++
Python
Vulkan
DirectX
Metal
HLSL
GLSL
OpenCL
CUDA
Unreal
Unity
Linux
Android
OpenGL
3D graphics
GPU hardware
ray tracing
rasterization
linear algebra
multi-threaded debugging
performance profiling
parallel programming
game engines
offline compiler
JIT compiler