This role pays more than
56%
of similar roles. Most pay
$172,750–$246,150
— the shaded band above.
At the midpoint, this role pays about
$219k
versus about
$209k
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
929 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 915 roles with salary data.
As a Senior Software Engineer, AI Agent Compute, you will join the team to drive the design and development of an agent compute delivery platform centered on a custom agent sandbox cloud VM solution. You will lead initiatives from architecture and systems design through implementation, testing, and deployment to create scalable, secure services for isolated agent workloads. Your daily work involves developing automation for infrastructure provisioning, VM lifecycle management, application delivery, and monitoring while collaborating across teams to translate AI workflow requirements into platform capabilities. The role requires expertise in distributed systems, including asynchronous processing and idempotency, along with experience in PostgreSQL, MongoDB, and secure software development. Preferred skills include proficiency in Go, TypeScript, and Temporal for durable execution. You will build the infrastructure necessary to support next-generation agentic services and AI-native development workflows.
What does a Software Engineer earn in Remote?
Median $202482 from 408 postings across 57 companies.
Lead cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment.
Design, build, and operate scalable services to support secure and isolated agent workloads.
Develop automation for infrastructure provisioning, VM lifecycle management, application delivery, and monitoring.
Translate business and AI workflow requirements into dependable platform capabilities.
Improve the platform’s reliability, scalability, observability, performance, and operational efficiency.
Maintain high standards for code quality, testing, documentation, and infrastructure security.
What we're looking for
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of experience in software, platform, infrastructure, or cloud engineering with a focus on backend or distributed systems.
Strong understanding of distributed-systems concepts including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency.
Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance.
Understanding of secure software development, cloud security, identity and access management, secrets management, and network security.
Experience with AI-native development and coding agents to multiply developer efficiency.
Strong communication skills and a collaborative, team-oriented approach.
Deep expertise in Go and TypeScript; production experience with Temporal; and experience building platforms for AI agents or sandbox execution (preferred).
Python
TypeScript
Java
LLM
Prompt Engineering
LangChain
CrewAI
AutoGen
Microsoft Copilot Studio
Google Gemini
OpenAI API
Anthropic API
Google AI Studio
Salesforce
HubSpot
Marketo
Adobe Suite
Tableau
ServiceNow