Senior Failure Analysis Engineer

Nvidia

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $144,000–$230,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k

This role $187k

$126k most similar roles pay here $241k

This role pays more than 70% of similar roles. Most pay $143,572–$193,000 — the shaded band above. At the midpoint, this role pays about $187k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Failure Analysis Engineer

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NVIDIA seeks a Senior Failure Analysis Engineer to join its software engineering team, focusing on blending development with production support. This role involves owning and improving critical failure analysis systems, including databases and CAD tools, ensuring they are reliable and efficient for semiconductor teams. The engineer will design automation frameworks, data pipelines, and analytics platforms that enhance decision-making through advanced AI and machine learning techniques. Key responsibilities include collaborating with various engineering teams to deliver robust solutions and driving continuous improvement in software quality and operational excellence. Ideal candidates have a strong background in electrical or computer engineering, experience with Python, Rust, or Shell scripting, and expertise in Linux environments and modern software practices. Additional strengths include hands-on AI/ML application, EDA workflow knowledge, and the ability to manage technical projects independently in fast-paced settings.

Skills

Python Rust Shell Linux CI/CD EDA AI ML Data Analytics Orchestration Automation Databases Dashboards Observability Version Control Testing

What you'll do

Own reliability and performance of critical FA systems including databases and CAD tools.
Design scalable automation frameworks and data pipelines to streamline engineering processes.
Build analytics platforms and dashboards for actionable insights in semiconductor production.
Apply AI and machine learning techniques to reduce manual effort and accelerate analysis.
Partner with cross-functional teams to deliver reliable, maintainable technical solutions.

What we're looking for

8+ years of professional experience in software engineering or semiconductor development/production environments.
Strong proficiency in Python, Rust, Shell scripting, or similar languages for building robust automation and production systems.
Proven track record designing automation frameworks and data-processing systems with measurable impact.
Solid experience in Linux environments and modern software engineering practices (version control, testing, CI/CD).
Exceptional analytical and problem-solving skills for complex technical challenges.
Direct experience in semiconductor design, failure analysis, or engineering automation workflows.
Hands-on application of AI/ML techniques to solve hardware or production-related problems.

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