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$152,581–$235,750.
Based on 240 similar postings.
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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
1675 open roles
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Listed pay typically runs
$184,000–$287,500
across 1080 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 cloud VM platform initiatives from architecture through deployment, building scalable services that support secure, isolated agent workloads. Your daily work involves developing automation for infrastructure provisioning, VM lifecycle management, and application delivery while improving platform reliability and observability. You will utilize Go, TypeScript, PostgreSQL, and MongoDB to solve complex distributed systems problems involving asynchronous processing and idempotency. The role requires expertise in Temporal for durable execution and workflow orchestration. You will translate AI workflow requirements into dependable platform capabilities, ensuring secure software development and workload isolation for next-generation agentic services.
What does a Software Engineer earn in California?
Median $214500 from 1157 postings across 75 companies.
Lead cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment.
Design, build, and operate scalable services that support secure, 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 for internal engineering teams.
Improve platform reliability, scalability, observability, performance, and operational efficiency.
Maintain high standards for code quality, testing, documentation, infrastructure security, and production readiness.
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, focusing 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 (preferred); production experience with Temporal (preferred); experience building platforms for AI agents (preferred).
Go
TypeScript
Temporal
PostgreSQL
MongoDB
Distributed Systems
VM
Identity and Access Management
Network Security
Container Security
Zero-Trust
Observability
Data Modeling