Systems Engineer IV

Applied Materials

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $161,000–$221,000 / yr
Posted: 11 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $153k

This role $191k

$112k most similar roles pay here $233k

This role pays more than 80% of similar roles. Most pay $126,680–$178,464 — the shaded band above. At the midpoint, this role pays about $191k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 97 open roles on FindRole.

Listed pay typically runs $138,000–$190,000 across 97 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Systems Engineer IV

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As a Senior Systems Engineer on the semiconductor equipment team, you will define and implement end-to-end system architectures for sensor integration across various subsystems, ensuring seamless hardware-software interfaces. Your day-to-day responsibilities include deploying sensors for predictive maintenance use cases, developing data acquisition systems using industrial communication protocols, and translating system requirements into data-driven maintenance capabilities with AI/ML models. You will also lead projects, collaborate cross-functionally to solve complex technical challenges, and validate system performance. The ideal candidate has a degree in Electrical or Mechanical Engineering and 6-10+ years of experience in system integration within semiconductor equipment or similar domains, along with expertise in sensor technologies, data acquisition systems, and predictive maintenance concepts.

Skills

Ethernet-based protocols fieldbus serial interfaces data pipelines anomaly detection AI/ML models system validation reliability engineering predictive maintenance sensor technologies data acquisition systems system architecture CI/CD

What you'll do

Define and implement end-to-end system architectures for sensor integration.
Identify and deploy sensors aligned to failure modes and predictive maintenance use cases.
Develop system requirements for data acquisition and connectivity using industrial protocols.
Translate system requirements into data-driven maintenance capabilities, including anomaly detection.
Define and execute system-level validation plans to verify sensor accuracy and performance.

What we're looking for

Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, or related field.
6–10+ years of experience in complex system integration within semiconductor equipment or industrial systems.
Proven expertise in sensor technologies and data acquisition systems.
Strong knowledge of predictive maintenance, diagnostics, and reliability engineering concepts.
Experience with system architecture, integration, and requirements definition.
Familiarity with industrial communication protocols and scalable data pipelines.
Leadership skills to manage projects and influence stakeholders effectively.

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