NVIDIA

1 month ago

Senior Software Engineer, AI Speed Infrastructure

✓ 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

Develop AI-native, self-healing CI workflows and fast build/test/validation paths for large C/C++ codebases (Tegra). Design automated, multi-tiered pipelines with AI agents to triage failures, optimize performance, and enable scalable, safe remote/in-device testing across massive engineering teams.

Location: Santa Clara, Redmond

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases
•Design fast build, test, and validation paths that keep developers and agents in tight loops
•Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery
•Improve incremental builds, caching, remote execution, and test selection
•Integrate simulation, emulation, and device-backed testing into trustworthy CI

Key Requirements

•BS/MS in Electrical or Computer Engineering, or equivalent experience
•8+ years of relevant industry experience
•Strong systems / build architecture for C/C++ codebases
•Real daily use of AI coding tools and agent workflows
•Deep experience with build systems, CI orchestration, and test strategy

Experience:8+ yearsAISoftwareEmbedded systemsHardware

Education:Bachelor's

Skills:PythonC++CIAutomationTestingScripting

Tech Stack:PythonC++CIBuild systemsRemote executionEmulation

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

1 month ago

Senior Software Engineer, AI Speed Infrastructure

✓ 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: Santa Clara, Redmond

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases
•Design fast build, test, and validation paths that keep developers and agents in tight loops
•Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery
•Improve incremental builds, caching, remote execution, and test selection
•Integrate simulation, emulation, and device-backed testing into trustworthy CI

Key Requirements

•BS/MS in Electrical or Computer Engineering, or equivalent experience
•8+ years of relevant industry experience
•Strong systems / build architecture for C/C++ codebases
•Real daily use of AI coding tools and agent workflows
•Deep experience with build systems, CI orchestration, and test strategy

Experience:8+ yearsAISoftwareEmbedded systemsHardware

Education:Bachelor's

Skills:PythonC++CIAutomationTestingScripting

Tech Stack:PythonC++CIBuild systemsRemote executionEmulation

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