NVIDIA

2 days ago

Senior Software Engineer, AI Agent Compute

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and develop NVIDIA’s agent compute delivery platform built on a custom agent sandbox cloud VM solution. Lead cloud VM platform initiatives from architecture through implementation, testing, and deployment, and build scalable, secure services for isolated agent workloads. Create automation for VM lifecycle management, monitoring, and remediation while partnering across teams to translate AI workflows into platform capabilities, improving reliability, scalability, observability, and production readiness.

Location: California, North Carolina

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•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, configuration, monitoring, and remediation.
•Collaborate across NVIDIA engineering teams to translate business and AI workflow requirements into platform capabilities.
•Improve platform reliability, scalability, observability, performance, and operational efficiency; raise standards for code quality, testing, documentation, infrastructure security, and production readiness.

Pay and Benefits

Salary: USD 168,000 - 270,250 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, or 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, async processing, failure handling, retries, idempotency, and eventual consistency.
•Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance.
•Understanding of secure software development and cloud security, including identity and access management, secrets management, and network security.

Experience:8+ yearsAICloudDistributed systems

Education:Bachelor's in Computer Science, Engineering

Skills:CommunicationCollaborativeTeam-oriented

Tech Stack:GoTypeScriptPostgreSQLMongoDBTemporal

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 days ago

Senior Software Engineer, AI Agent Compute

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: California, North Carolina

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•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, configuration, monitoring, and remediation.
•Collaborate across NVIDIA engineering teams to translate business and AI workflow requirements into platform capabilities.
•Improve platform reliability, scalability, observability, performance, and operational efficiency; raise standards for code quality, testing, documentation, infrastructure security, and production readiness.

Pay and Benefits

Salary: USD 168,000 - 270,250 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, or 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, async processing, failure handling, retries, idempotency, and eventual consistency.
•Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance.
•Understanding of secure software development and cloud security, including identity and access management, secrets management, and network security.

Experience:8+ yearsAICloudDistributed systems

Education:Bachelor's in Computer Science, Engineering

Skills:CommunicationCollaborativeTeam-oriented

Tech Stack:GoTypeScriptPostgreSQLMongoDBTemporal

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor