NVIDIA

1 month ago

Senior Failure Analysis Engineer

✓ 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

Software-focused senior engineer blending development with production tooling to maintain and optimize FA systems. Owns reliability of databases, CAD tools and analytics platforms, builds scalable automation and data pipelines, applies AI/ML to speed root-cause analysis, and collaborates across FA, design, CAD, infra, and manufacturing teams to drive continuous improvement at scale.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Director level

Key Responsibilities

•Own the reliability, performance, and continuous improvement of production-critical systems, including databases, CAD navigation tools, and failure analysis platforms, ensuring high availability and responsiveness for semiconductor engineering and manufacturing teams.
•Design and deliver scalable automation frameworks, data pipelines, and intelligent workflows that streamline semiconductor engineering, failure analysis, and production support processes at scale.
•Build advanced analytics platforms, dashboards, and orchestration systems that turn engineering and production data into clear, actionable insight for faster debug and better decision-making.
•Apply AI, machine learning, and optimization techniques to reduce manual effort, accelerate root-cause analysis, and strengthen both engineering and production workflows.
•Partner closely with failure analysis, design, verification, CAD, infrastructure, and production collaborators to deliver reliable, maintainable, and high-impact technical solutions.

Pay and Benefits

Salary: USD 144,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
•8+ years of professional experience in software engineering, electrical engineering, or semiconductor development/production environments.
•Strong proficiency in Python, Rust, Shell scripting, or similar languages for building robust automation, tooling, and production systems.
•Proven track record designing automation frameworks, data-processing systems, or productivity tools with measurable engineering or production impact.
•Solid experience in Linux environments and modern software engineering guidelines (version control, testing, CI/CD, observability).

Experience:8+ years

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonRustShellLinuxCI/CDObservabilityDatabasesCADData pipelinesAIMachine learningOrchestration

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 Failure Analysis Engineer

✓ 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

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Director level

Key Responsibilities

•Own the reliability, performance, and continuous improvement of production-critical systems, including databases, CAD navigation tools, and failure analysis platforms, ensuring high availability and responsiveness for semiconductor engineering and manufacturing teams.
•Design and deliver scalable automation frameworks, data pipelines, and intelligent workflows that streamline semiconductor engineering, failure analysis, and production support processes at scale.
•Build advanced analytics platforms, dashboards, and orchestration systems that turn engineering and production data into clear, actionable insight for faster debug and better decision-making.
•Apply AI, machine learning, and optimization techniques to reduce manual effort, accelerate root-cause analysis, and strengthen both engineering and production workflows.
•Partner closely with failure analysis, design, verification, CAD, infrastructure, and production collaborators to deliver reliable, maintainable, and high-impact technical solutions.

Pay and Benefits

Salary: USD 144,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
•8+ years of professional experience in software engineering, electrical engineering, or semiconductor development/production environments.
•Strong proficiency in Python, Rust, Shell scripting, or similar languages for building robust automation, tooling, and production systems.
•Proven track record designing automation frameworks, data-processing systems, or productivity tools with measurable engineering or production impact.
•Solid experience in Linux environments and modern software engineering guidelines (version control, testing, CI/CD, observability).

Experience:8+ years

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonRustShellLinuxCI/CDObservabilityDatabasesCADData pipelinesAIMachine learningOrchestration

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