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Semiconductor Quality Reliability Engineer Jobs in Riverside, CA

Ravh IT Solutions

Senior Data Enginner

Irvine, CA

$113K - $154K/yr

Knowledge of Data Governance, Data Quality, and Data Security frameworks. * Experience implementing enterprise-scale Data Lakehouse architectures. * Familiarity with SRE (Site Reliability Engineering ...

Benchmark

Supplier Quality Engineer II

Santa Ana, CA · On-site

$89K - $111K/yr

... semiconductor capital equipment. We prioritize career growth, fostering a culture that ensures you ... the quality and reliability of products and materials supplied to our company. This mid-level ...

DAS Technology Group

Product Engineer

Orange, CA · On-site

Welcome to DAS Technology Group; we are specialized recruiters for the Semiconductor, RF & Defense ... Understand contributors to highest level in product quality, cost and drive cost reductions

Terran Orbital Corporation

Staff Quality Engineer

Irvine, CA · On-site

$77K - $99K/yr

Reporting to the Director of Quality, the Staff Quality Engineer will be responsible for supporting the development, implementation, and maintenance of a quality and reliability testing system for ...

CYNET SYSTEMS

Quality Engineer

Irvine, CA · On-site

$35 - $40/hr

Interpret engineering drawings, schematic diagrams, or formulas and confer with management or engineering staff to determine quality and reliability standards. Skills: * Verbal and written ...

MaxLinear, Inc.

Principal Device Engineer

Irvine, CA

$142K - $191K/yr

R & D in semiconductor device engineering, especially in device characterization for both RF/analog & digital applications, analysis on device/interconnect variability and reliability, and ...

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All JobsSemiconductor Quality Reliability Engineer JobsSemiconductor Quality Reliability Engineer Jobs in Riverside, CA

Semiconductor Quality Reliability Engineer information

See Riverside, CA salary details

$63.6K

$123.1K

$147.1K

How much do semiconductor quality reliability engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for semiconductor quality reliability engineer in Riverside, CA is $123,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $134,600.00 per year, depending on experience, location, and employer.

What does a Semiconductor Quality Reliability Engineer do?

A Semiconductor Quality Reliability Engineer is responsible for ensuring that semiconductor products meet quality and reliability standards throughout their lifecycle. They design and implement tests to evaluate product reliability, analyze failure data, and work with design and manufacturing teams to address any issues. Their role is crucial in identifying potential defects early and ensuring that products perform consistently under various conditions. This helps minimize failures in the field and maintains customer trust in the company's products.

What are the main challenges Semiconductor Quality Reliability Engineers face when working with new technology nodes?

Semiconductor Quality Reliability Engineers working with new technology nodes often encounter challenges such as managing unknown failure mechanisms, ensuring device reliability under accelerated testing, and adapting to rapidly evolving process changes. These engineers must collaborate closely with design, process, and manufacturing teams to identify potential risks early and develop robust reliability test plans. Staying up-to-date with industry standards and best practices is crucial to address these challenges effectively and maintain product quality throughout the development cycle.

What are the key skills and qualifications needed to thrive as a Semiconductor Quality Reliability Engineer, and why are they important?

To thrive as a Semiconductor Quality Reliability Engineer, you need a solid background in electrical engineering, materials science, and semiconductor device physics, often supported by a relevant degree and experience in quality control or reliability testing. Familiarity with reliability analysis tools (like Weibull analysis), failure analysis techniques, and quality management systems (such as ISO 9001) is essential. Strong problem-solving skills, attention to detail, and effective cross-functional communication set outstanding professionals apart in this role. These skills ensure product reliability, compliance with industry standards, and the delivery of high-quality semiconductor devices to market.

What is the difference between Semiconductor Quality Reliability Engineer vs Semiconductor Process Engineer?

AspectSemiconductor Quality Reliability EngineerSemiconductor Process Engineer
Primary FocusEnsuring product reliability and quality through testing and analysisDeveloping and optimizing manufacturing processes for semiconductor fabrication
Required SkillsReliability testing, failure analysis, quality standardsProcess development, equipment operation, process control
Work EnvironmentQuality labs, testing facilities, manufacturing plantsCleanrooms, fabrication facilities, process labs
Common CertificationsISO standards, Six Sigma, reliability testing certificationsProcess engineering certifications, SEMI standards

The Semiconductor Quality Reliability Engineer focuses on ensuring the reliability and quality of semiconductor products through testing and analysis, while the Semiconductor Process Engineer concentrates on developing and refining manufacturing processes. Both roles are essential in the semiconductor industry and often collaborate to produce high-quality, reliable chips efficiently.

What are popular job titles related to Semiconductor Quality Reliability Engineer jobs in Riverside, CA? For Semiconductor Quality Reliability Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Semiconductor Quality Reliability Engineer jobs in Riverside, CA look for? The top searched job categories for Semiconductor Quality Reliability Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Semiconductor Quality Reliability Engineer jobs? Cities near Riverside, CA with the most Semiconductor Quality Reliability Engineer job openings:
Semiconductor Quality Reliability Engineer jobs near you

Senior Data Enginner

Ravh IT Solutions

Irvine, CA

$113K - $154K/yr

Other

Posted 5 days ago

Job description

Please find below Requirement 
 
 
 
 
Role: Data Engineering Tower Lead
Location: Irvine, CA
(Enterprise Data Platform & Operations Lead)
Job Description
Position Summary
We are seeking an experienced Data Engineering Tower Lead to lead and manage the enterprise data engineering organization, ensuring the successful delivery, reliability, scalability, and operational excellence of the data platform. This role will be responsible for end-to-end data engineering delivery, platform performance, team leadership, production support, and alignment with business objectives.
The ideal candidate will possess strong expertise in Databricks, Apache Spark, Airflow/Astronomer, Data Engineering, DevOps, and Platform Operations, along with proven leadership experience managing multiple teams and large-scale data programs.
Key Responsibilities
Leadership & Delivery Management
  • Lead and manage the entire Data Engineering Tower across multiple teams, pods, and programs.
  • Own end-to-end delivery of data engineering initiatives, ensuring alignment with business priorities and enterprise goals.
  • Drive program execution, on-time delivery, SLA adherence, and operational excellence.
  • Manage cross-functional dependencies, risks, issues, and escalations.
  • Collaborate closely with business stakeholders, product owners, and technology leadership teams.
Data Engineering & Platform Architecture
  • Oversee the design, development, and optimization of scalable data pipelines and data processing frameworks.
  • Ensure high standards of data quality, governance, scalability, and performance.
  • Establish best practices for enterprise data engineering and platform operations.
  • Lead platform modernization and continuous improvement initiatives.
Databricks & Spark Leadership
  • Provide technical leadership for Databricks platform administration and optimization.
  • Drive advanced Spark development, performance tuning, and workload optimization.
  • Ensure efficient utilization of compute resources and platform scalability.
Workflow Orchestration & Automation
  • Lead enterprise orchestration strategies using Airflow/Astronomer.
  • Design and govern DAG development standards, reliability practices, and workflow optimization.
  • Improve operational efficiency through automation and orchestration frameworks.
DevOps & Infrastructure Automation
  • Implement and oversee DevOps best practices including CI/CD pipelines.
  • Drive Infrastructure-as-Code (IaC) adoption and automation initiatives.
  • Ensure streamlined deployment processes and platform consistency across environments.
Platform Operations & Reliability
  • Establish and maintain highly available, reliable, and scalable data platforms.
  • Define monitoring, alerting, observability, and incident management processes.
  • Lead production support activities and operational readiness programs.
  • Ensure platform stability, disaster recovery preparedness, and business continuity.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 12+ years of experience in Data Engineering, Data Platforms, or Big Data technologies.
  • 5+ years of experience leading large-scale Data Engineering teams and programs.
  • Strong hands-on experience with:
    • Databricks
    • Apache Spark
    • Apache Airflow / Astronomer
    • Enterprise Data Engineering and ETL/ELT frameworks
    • CI/CD pipelines and DevOps practices
    • Infrastructure as Code (Terraform, CloudFormation, etc.)
  • Experience managing enterprise-scale production environments and platform operations.
  • Strong understanding of monitoring, observability, incident management, and reliability engineering.
  • Excellent stakeholder management, communication, and leadership skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Data Governance, Data Quality, and Data Security frameworks.
  • Experience implementing enterprise-scale Data Lakehouse architectures.
  • Familiarity with SRE (Site Reliability Engineering) practices and platform engineering concepts.
  • Relevant cloud, Databricks, or data engineering certifications are highly desirable.
Key Skills
Databricks | Apache Spark | Airflow | Astronomer | Data Engineering | ETL/ELT | Data Pipelines | DevOps | CI/CD | Infrastructure as Code (IaC) | Platform Engineering | Monitoring & Alerting | Incident Management | Production Support | Cloud Platforms (AWS/Azure/Google Cloud Platform) | Leadership & Stakeholder Management

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