NVIDIA

2 months ago

Senior AI Engineer, Agents and Developer Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead development of AI-driven tooling to automate NVIDIA's software engineering workflows, building end-to-end solutions that improve developer efficiency, reliability, and release cadence. Design and deploy AI agents, measure impact with key engineering metrics, and push the development ecosystem forward with VLM/LLM-based automation and scalable infrastructure.

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability
•Experience designing, developing, and deploying AI agents to automate software development workflows and processes
•Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and MTTR
•Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures
•Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge

Key Requirements

•BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
•Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and Agent development
•Strong background in implementing AI solutions to solve real-world software engineering problems.
•Hands-on experience on Python/Java/Go with extensive python scripting experience.
•Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

Experience:10+ yearsAISoftware engineeringInfrastructureEnterprise tooling

Education:Master's

Tech Stack:PythonJavaGoReactAngularSQLNoSQLMySQLMongoDBElasticsearchJenkinsGitlab CIPackerTerraformArtifactoryAnsibleChefREST APIsDistributed systemsMicroservices

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 months ago

Senior AI Engineer, Agents and Developer Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability
•Experience designing, developing, and deploying AI agents to automate software development workflows and processes
•Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and MTTR
•Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures
•Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge

Key Requirements

•BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
•Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and Agent development
•Strong background in implementing AI solutions to solve real-world software engineering problems.
•Hands-on experience on Python/Java/Go with extensive python scripting experience.
•Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

Experience:10+ yearsAISoftware engineeringInfrastructureEnterprise tooling

Education:Master's

Tech Stack:PythonJavaGoReactAngularSQLNoSQLMySQLMongoDBElasticsearchJenkinsGitlab CIPackerTerraformArtifactoryAnsibleChefREST APIsDistributed systemsMicroservices

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