As a Senior Technical Lead at NVIDIA, you will join a dynamic team focused on engaging developer ecosystems in emerging technology domains such as Generative AI and Autonomous Vehicles. Your primary responsibilities include serving as a technical advisor for partner engineering teams, developing deep expertise in NVIDIA’s Cosmos and Omniverse Platforms through prototyping and creating reference architectures, and advising on the creation of technical enablement resources like sample code and guides. You will also support product launches by providing technical validation and ensuring excellence in customer-facing materials while fostering co-innovation with partners and startups. The ideal candidate has extensive experience in AI roles, particularly in AV End-to-End models and GenAI model development, along with proficiency in Python or C++, Linux, and DevOps tools like GitLab, Docker, and Kubernetes. Additionally, you should have a strong understanding of AV systems, DL and RL frameworks such as PyTorch, and experience deploying LLM models at scale on cloud providers.
Skills
Python
C++
Linux
GitLab
Docker
Kubernetes
PyTorch
AWS
Azure
GCP
NVIDIA_Omniverse
NVIDIA_Cosmos
USD
NIMs
Blueprints
LangChain
LangGraph
MCP
Multimodal_LLMs
VLMs
DiT
What you'll do
Serve as a technical advisor for partner engineering teams on architecture and integration for NVIDIA’s AI platforms.
Develop deep expertise in NVIDIA Cosmos and Omniverse Platforms through prototyping and creating reference architectures.
Advise on the creation of technical enablement resources like sample code and guides to solve real-world problems.
Engage with partner software organizations to understand goals, solve challenges, and promote best practices for integrations.
Support product launches by providing technical validation and demonstrating integrated solutions to ensure excellence in materials.
What we're looking for
12+ years of hands-on experience in technical AI roles, focusing on AV End-to-End models and GenAI development.
Proficiency in Python or C++ for production code and Linux environment.
Expertise with DevOps tools including GitLab, Docker, Kubernetes.
Strong understanding of autonomous vehicle systems (sensors, dynamics, perception).
Experience with deep learning and reinforcement learning algorithms and frameworks like PyTorch.
Market check
Salary context
This
$224,000–$356,500
range sits above
91%
of similar postings on FindRole.
Peer median band
$182,400–$258,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$168,375–$246,425
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Remote (Work From Home - United States, US)66 days ago
$250,600–$250,600
Python
R
Java
PySpark
PyTorch
TensorFlow
Scikit-learn
LangChain
SQL
Microsoft Azure
Data Lake
Machine Learning
Databricks
AWS
S3
SageMaker
Google Cloud Platform
BigQuery
AI Platform
MLflow
Model Monitoring & Versioning
Docker
Kubernetes
GitHub
Jira
Tableau
PowerBI
Pandas
NumPy
ISO/PAS 8800
NIST AI Risk Management Framework
EU AI Act
Us, Ca, Santa Clara, US77 days ago
$320,000–$488,750
Python
PyTorch
TensorFlow
JAX
CNNs
Transformers
BEV
Occupancy Networks
Vision-Language-Action models
NVIDIA DRIVE
ISO 26262
C++
CUDA
Multi-sensor fusion
LiDAR
Radar
Camera
Active learning
Data mining
Synthetic data generation
NVIDIA GPU