ZipRecruiter

Log In

2

Remote Design Verification Engineer Jobs in Yucaipa, CA

Tunabear

Peoplesoft Payroll Developer

Riverside, CA · Remote

Peoplesoft Payroll Developer * Full time contract (1099/C2C) * 100% remote (PST) Scope of Work ... Applies advanced software concepts to plan, design, develop, modify, debug, deploy and evaluate ...

Generac

Power Solutions Manager

Corona, CA · On-site +1

$124K - $154K/yr

Identifies key engineering firms and develops strategy to meet, educate and convince them to design ... Promotes and provides technical onsite and remote sales support of Generac Industrial products with ...

micro1 AI

Medical Writing Manager

Riverside, CA · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Trace narrative claims to source records--tables, figures, listings, and protocols--to verify that ...

micro1 AI

Medical Writing Manager

San Bernardino, CA · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Trace narrative claims to source records--tables, figures, listings, and protocols--to verify that ...

previous pagenext page

Showing results 21-40

All JobsDesign Verification Engineer JobsRemote Design Verification Engineer JobsRemote Design Verification Engineer Jobs in Yucaipa, CA

Remote Design Verification Engineer information

See Yucaipa, CA salary details

$110.1K

$155.7K

$174.3K

How much do remote design verification engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote design verification engineer in Yucaipa, CA is $155,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,900.00 and $173,200.00 per year, depending on experience, location, and employer.

What is a remote design verification engineer?

Remote Design Verification Engineers are professionals who work from a remote location to ensure that hardware designs, such as integrated circuits or systems on a chip (SoC), function correctly according to their specifications. They use simulation and verification tools to test digital designs, identify bugs, and work closely with design teams to resolve issues. Their responsibilities often include writing test benches, developing verification plans, and automating tests to improve efficiency. This role requires a strong background in hardware description languages like Verilog or VHDL, as well as experience with verification methodologies such as UVM or SystemVerilog.

What are the key skills and qualifications needed to thrive as a remote design verification engineer?

To thrive as a Remote Design Verification Engineer, you need a solid background in digital design, verification methodologies (such as UVM or SystemVerilog), and a relevant engineering degree. Proficiency in simulation tools (like VCS or ModelSim), scripting languages (Python or Perl), and version control systems is typically required. Exceptional problem-solving abilities, attention to detail, and strong communication skills are crucial for effective collaboration in a remote environment. These competencies ensure accurate verification, efficient workflow, and high-quality deliverables in complex hardware development projects.

What are some common challenges faced by remote design verification engineers, and how can they be addressed?

Remote Design Verification Engineers often encounter challenges related to communication and collaboration, especially when working with global teams across different time zones. Maintaining clear and frequent communication through project management tools and regular video meetings is essential. Additionally, ensuring access to secure and reliable simulation environments can be a hurdle, so familiarity with remote access protocols and cloud-based verification tools is beneficial. Proactively documenting verification processes and results also helps keep everyone aligned and facilitates smoother project progress.

What is the difference between Remote Design Verification Engineer vs Remote Test Engineer?

AspectRemote Design Verification EngineerRemote Test Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of verification toolsBachelor's in Electrical Engineering, Computer Engineering, or related field; testing certifications beneficial
Work EnvironmentDesign labs, simulation environments, collaboration with design teamsTesting labs, field testing, collaboration with verification teams
Industry UsageSemiconductors, integrated circuits, hardware design companiesElectronics, hardware manufacturing, embedded systems companies

The Remote Design Verification Engineer focuses on verifying hardware designs through simulation and analysis before manufacturing, ensuring design correctness. In contrast, the Remote Test Engineer primarily tests finished products or prototypes to validate functionality and performance. Both roles require technical expertise and collaboration but differ in their project stages and focus areas.

What are popular job titles related to Remote Design Verification Engineer jobs in Yucaipa, CA?

For Remote Design Verification Engineer jobs in Yucaipa, CA, the most frequently searched job titles are:

What cities near Yucaipa, CA are hiring for Remote Design Verification Engineer jobs?

Cities near Yucaipa, CA with the most Remote Design Verification Engineer job openings:

Remote Design Verification Engineer jobs near you

Sr. Adobe Experience Platform (AEP) Engineer (100% Remote)

Prosum Inc.

Redlands, CA • On-site, Remote

Other

Re-posted 17 days ago

Job description

Job Description
Sr. Programmer AnalystSalary Range: $100k to $150k Overview
A leading organization is seeking a Sr. Programmer Analyst to support and optimize enterprise digital analytics and data collection initiatives. This role will focus on implementing scalable tagging solutions, managing analytics infrastructure, ensuring data integrity, and supporting cross-functional digital experience initiatives.
The ideal candidate will bring strong experience with enterprise tag management platforms, analytics ecosystems, and front-end technologies, along with expertise in governance, privacy compliance, and event-driven data architectures.
Key ResponsibilitiesTag Management & Analytics Implementation
  • Develop, implement, and maintain tagging solutions across digital platforms using enterprise tag management systems including:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Other enterprise tagging platforms
  • Configure and manage tag properties, rules, and workflows across multiple domains and environments
  • Support publishing processes and library management within AEP Data Collection
  • Design and execute scalable analytics tracking strategies and tagging standards
Data Collection & Analytics Architecture
  • Implement and maintain event-driven analytics frameworks including:
    • EDDL
    • AdobeDataLayer
  • Ensure accurate, consistent, and efficient data collection across digital properties
  • Partner with stakeholders to define tracking requirements and data layer specifications
  • Support enterprise customer journey and digital analytics initiatives
Testing, Debugging & Data Quality
  • Conduct validation, QA testing, and debugging of analytics implementations
  • Troubleshoot tagging and tracking issues to ensure data integrity and platform performance
  • Monitor analytics accuracy and tracking consistency across web environments
Cross-Functional Collaboration
  • Collaborate with:
    • Front-end engineering teams
    • UX/UI teams
    • Product managers and product owners
    • Business analysts
    • Marketing and analytics stakeholders
  • Align analytics implementation strategies with business and customer experience objectives
  • Provide support and guidance for analytics best practices and governance standards
Governance, Compliance & Documentation
  • Enforce tagging governance standards and implementation best practices
  • Ensure compliance with data privacy regulations including GDPR and CCPA
  • Create and maintain implementation documentation and tracking specifications
  • Support onboarding and training efforts related to analytics tools and processes
Required Qualifications
  • 5+ years of experience in digital analytics, tag management, or analytics implementation
  • Hands-on experience with:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Similar enterprise tag management platforms
  • Strong experience with:
    • Tag implementation
    • Testing and debugging
    • Analytics solution design and planning
  • Strong JavaScript skills related to analytics and tag deployment
  • Working knowledge of:
    • HTML
    • CSS
    • Front-end development concepts
  • Experience with data layer standards, governance, and formatting
  • Familiarity with Agile development methodologies and software development lifecycle processes
  • Strong written and verbal communication skills
  • Bachelor's degree in Computer Science, Information Systems, or related STEM field
Preferred QualificationsAdobe Analytics Ecosystem
  • Experience with:
    • Adobe Analytics
    • Adobe Experience Platform (AEP)
    • Customer Journey Analytics (CJA)
    • Customer Data Platform (CDP)
    • Adobe Web SDK implementation
Advanced Analytics & Governance
  • Understanding of Adobe Analytics concepts including:
    • eVars
    • Props
    • Success Events
    • SAINT classifications
    • Rule-based classifications
  • Experience supporting analytics governance across enterprise digital ecosystems
Technical & Automation Skills
  • Experience integrating with Adobe and third-party APIs
  • Python scripting experience for automation or analytics workflows
  • Familiarity with crawling and site analysis tools such as:
    • Screaming Frog
    • Python-based crawlers
Enterprise & Global Experience
  • Experience supporting international or multi-region analytics deployments
  • Understanding of enterprise marketing analytics and customer lifecycle measurement
  • Knowledge of privacy, compliance, and consent management considerations for analytics implementations
Additional Information
  • Opportunity to work on enterprise-scale digital analytics initiatives
  • Collaborative, cross-functional environment
  • Exposure to modern analytics platforms and customer experience technologies

Please view our Privacy Policy.

Apply