As an AV and GenAI Solutions Architect at NVIDIA, you will join the Automotive Solutions Architecture team as a senior-level expert, working closely with innovative customers on accelerated computing platforms for autonomous vehicles and in-vehicle AI. Your daily responsibilities include providing technical guidance to developers and researchers on building perception models, simulations, and synthetic data generation using NVIDIA’s Physical AI platforms and CUDA-X libraries. You will also mentor partners on the GenAI stack, develop proof-of-concepts, and create educational materials such as notebooks and GitHub repositories for AV and GenAI workflows. The role requires a Master's or Ph.D. in Computer Science or equivalent experience, with expertise in Python, C++, Linux, DevOps tools like GitLab and Kubernetes, and deep knowledge of AV systems and DL/RL frameworks like PyTorch. You will work across various teams to drive product improvements and foster continuous learning within the organization.
Skills
Python
C++
Linux
GitLab
Docker
Kubernetes
PyTorch
CUDA-X
Carla
LangChain
AWS
Azure
GCP
Prometheus
Grafana
CI/CD
What you'll do
Engage with customers to scope and develop solutions for AV perception and planning using NVIDIA's Physical AI platforms.
Provide technical mentorship on Nvidia GenAI stack, guiding customers in deploying agentic AI workflows.
Develop proof-of-concepts and provide feedback to drive continuous product improvements based on customer requirements.
Build collateral like notebooks and demos for AV and GenAI data curation, model training, and validation processes.
Collaborate with engineering teams to understand customer workflows and lead evaluations of NVIDIA's full-stack solutions.
What we're looking for
Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
8+ years of hands-on AI experience with focus on AV End-to-End models and GenAI development.
Proficiency in Python/C++, Linux, DevOps tools (GitLab, Docker, Kubernetes).
Strong understanding of AV systems including sensors, perception, prediction, planning.
Experience with DL/RL algorithms and frameworks like PyTorch.
Market check
Salary context
This
$184,000–$287,500
range sits above
70%
of similar postings on FindRole.
Peer median band
$184,000–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$196,750–$246,150
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, US46 days ago
$152,000–$241,500
C++
CUDA
Linux
QNX
Git
CMake
Bazel
OpenCV
MATLAB
Android
Multithreaded programming
Distributed systems
Version control
Build systems
Image processing APIs
Heterogeneous architectures
GPGPU programming
Real-time operating systems
MISRA standards