NVIDIA

3 weeks ago

Principal Engineer, AI Tooling and Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead the technical vision and architecture for NVIDIA’s AI-powered engineering platforms, including agentic AI systems and developer productivity tooling. Build autonomous systems that reason over code, documentation, and CI/CD workflows, and evolve AI-assisted software development processes such as validation, build/release automation, and security review. Set reliability, evaluation, observability, safety, security, and human-in-the-loop standards for LLM-powered systems while partnering across engineering, infrastructure, security, and research.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the technical vision, architecture, and execution for AI-native developer tooling and workflow automation platforms used across NVIDIA engineering.
•Invent and develop production-grade autonomous AI systems that reason over engineering workflows, including code, documentation, and CI/CD pipelines.
•Drive the evolution of AI-assisted software development processes (code understanding, requirements traceability, validation, tests, build and release automation, and security review).
•Define platform-level standards for reliability, evaluation, observability, safety, security, latency, cost efficiency, and human-in-the-loop controls for LLM-powered systems.
•Partner across engineering leaders and teams (products, infrastructure, security, and research) and influence technical direction by setting architecture patterns and mentoring senior engineers.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•PhD or MS (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
•15+ years of software engineering experience.
•Experience building large-scale platforms, distributed systems, AI systems, or developer infrastructure for demanding engineering teams.
•Deep hands-on expertise with LLM applications and agentic workflows (RAG, embeddings, vector search, tool use, prompt engineering, model evaluation, AI safety).
•Strong architecture judgment and coding experience in Python plus a major production language such as C++, Go, or Rust; with technical leadership at Principal level.

Experience:15+ yearsAI systemsDistributed systemsDeveloper infrastructure

Education:PhD / Doctorate in Computer Science, Computer Engineering, Electrical Engineering, or related field

Skills:Technical leadershipArchitecture judgmentMentoringCross-team collaborationEngineering standards

Tech Stack:PythonC++GoRustLLM applicationsAgentic workflowsRAGEmbeddingsVector searchPrompt engineeringModel evaluationAPIsServicesData pipelinesKubernetesCI/CDObservabilityReliability engineeringSecurityTensorRT

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

3 weeks ago

Principal Engineer, AI Tooling and Workflows

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the technical vision, architecture, and execution for AI-native developer tooling and workflow automation platforms used across NVIDIA engineering.
•Invent and develop production-grade autonomous AI systems that reason over engineering workflows, including code, documentation, and CI/CD pipelines.
•Drive the evolution of AI-assisted software development processes (code understanding, requirements traceability, validation, tests, build and release automation, and security review).
•Define platform-level standards for reliability, evaluation, observability, safety, security, latency, cost efficiency, and human-in-the-loop controls for LLM-powered systems.
•Partner across engineering leaders and teams (products, infrastructure, security, and research) and influence technical direction by setting architecture patterns and mentoring senior engineers.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•PhD or MS (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
•15+ years of software engineering experience.
•Experience building large-scale platforms, distributed systems, AI systems, or developer infrastructure for demanding engineering teams.
•Deep hands-on expertise with LLM applications and agentic workflows (RAG, embeddings, vector search, tool use, prompt engineering, model evaluation, AI safety).
•Strong architecture judgment and coding experience in Python plus a major production language such as C++, Go, or Rust; with technical leadership at Principal level.

Experience:15+ yearsAI systemsDistributed systemsDeveloper infrastructure

Education:PhD / Doctorate in Computer Science, Computer Engineering, Electrical Engineering, or related field

Skills:Technical leadershipArchitecture judgmentMentoringCross-team collaborationEngineering standards

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