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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
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1675 open roles
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Listed pay typically runs
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As a Senior Software Engineer, AI Agent Compute, you will join the team responsible for the agent compute delivery platform. You will lead cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment. Your primary responsibility involves designing, building, and operating scalable services that support secure, isolated agent workloads and developing automation for infrastructure provisioning, VM lifecycle management, and application delivery. You will utilize skills in distributed systems, including service communication, asynchronous processing, and failure handling. The role requires familiarity with PostgreSQL, MongoDB, and secure software development. You will also leverage experience with AI-native development and coding agents. The work focuses on building a platform for next-generation agentic services and improving the reliability, scalability, and observability of the custom agent sandbox cloud VM solution.
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 deployment.
Design and operate scalable services to support secure, isolated agent workloads.
Develop automation for infrastructure provisioning, VM lifecycle management, and application delivery.
Translate business and AI workflow requirements into dependable platform capabilities.
Improve platform 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 (preferred).
Production experience with Temporal for durable execution, workflow orchestration, and long-running distributed processes (preferred).
Comprehensive understanding of infrastructure security, workload isolation, container security, and zero-trust principles (preferred).
Experience building platforms for AI agents or sandbox execution (preferred).
Go
TypeScript
Temporal
PostgreSQL
MongoDB
Distributed Systems
VM Lifecycle Management
Identity and Access Management
Network Security
Container Security
Zero-Trust
Observability
Data Modeling