below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$161,875–$246,150
— the blue band above.
At the midpoint, this role pays about
$352k
versus about
$204k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
As the Senior Manager, Engineering - Enterprise AI and Automation, you will lead the strategy and execution for the agentic developer platform within the Agentic Systems & Platform Architecture team. You will identify development gaps, drive rapid proof-of-concepts on emerging agent constructs, and operationalize reusable building blocks, integrations, and governance mechanisms to accelerate developer productivity. Your daily work involves architecting high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows. You will integrate the AI Data Platform into the on-prem AI Factory while establishing Agent Governance policies and a centralized Agent Safety Toolkit. Key requirements include expertise in LLM/agent architectures, open-source libraries, and building evaluation systems for agent workflows, focusing on the technical challenge of scaling autonomous systems and ensuring responsible AI compliance.
What does a Engineering Manager earn in California?
Median $279400 from 84 postings across 24 companies.
LLMOps
MLOps
Agentic AI
AWS
Azure
Cloud
Data Science
AI Engineering
FinOps
red-teaming
Model Risk Management
Multi-agent Orchestration
Data Governance
AI Security
Explainability
Bias Testing
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Reinforcement Learning
RLHF
RLAIF
Natural Language Processing
Distributed Systems
Machine Learning
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Natural Language Processing
Machine Learning
Reinforcement Learning
RLHF
RLAIF
Distributed Systems
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
Private Cloud Compute
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Reinforcement Learning
Natural Language Processing
Distributed Systems
Machine Learning
Chain-of-Thought
Model Alignment
RLHF
RLAIF
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
On-device Intelligence
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Natural Language Processing
Machine Learning
Reinforcement Learning
RLHF
RLAIF
Distributed Systems
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines