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Asic Verification Engineer Remote Jobs in Michigan

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

We provide technology-first background screening, identity verification, and continuous monitoring ... Flexible/remote work options.

Ford Motor Company

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ... Verification of employment eligibility will be required at the time of hire. We are an Equal ...

Huntington

Network Engineer 3

Detroit, MI · On-site +1

$70K - $140K/yr

Verify hardware/software requirements, design and configure Local Area Network/Wide Area Network ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Network Engineer 3

Detroit, MI · On-site +1

$70K - $140K/yr

Verify hardware/software requirements, design and configure Local Area Network/Wide Area Network ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

Verification of employment eligibility will be required at the time of hire. We are an Equal ... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master ...

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Asic Verification Engineer Remote information

What does an ASIC Verification Engineer do?

An ASIC Verification Engineer is responsible for ensuring that an Application-Specific Integrated Circuit (ASIC) design functions as intended before it is manufactured. They develop and implement test plans, create verification environments using hardware description and verification languages like SystemVerilog or UVM, and run simulations to detect design flaws. Working remotely, these engineers collaborate with design teams using digital tools and communication platforms to review specifications, debug issues, and validate functionality. Their work is critical to reducing errors, saving costs, and ensuring high-quality chip production.

What are the main challenges of working remotely as an ASIC Verification Engineer, and how can they be addressed?

One of the main challenges of working remotely as an ASIC Verification Engineer is effective collaboration with design and verification teams, especially when debugging complex issues that benefit from real-time, face-to-face communication. Additionally, accessing hardware labs or simulation environments may require coordination with on-site colleagues. To address these challenges, it’s important to leverage video conferencing, screen sharing, and collaborative project management tools. Proactively communicating your progress and questions, and establishing regular check-ins with your team, can help ensure alignment and maintain productivity in a remote setup.

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

AspectAsic Verification Engineer RemoteAsic Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering; FPGA/ASIC verification certificationsBachelor's/Master's in Electrical Engineering or Computer Engineering; VLSI design certifications
Work EnvironmentRemote, collaborative teams, virtual toolsTypically in-office or hybrid, design labs, CAD tools
Industry UsageCommon in semiconductor, electronics, and tech companies

While both roles require a strong background in VLSI and digital design, Asic Verification Engineers focus on testing and validating ASIC designs remotely, whereas Asic Design Engineers are involved in creating and designing ASICs, often working on-site. The roles share similar credentials but differ in daily tasks and work environment.

What are the key skills and qualifications needed to thrive as an ASIC Verification Engineer remote?

To thrive as an ASIC Verification Engineer (Remote), you need a solid background in digital design, verification methodologies, and hardware description languages such as Verilog or VHDL, often supported by a degree in electrical or computer engineering. Proficiency with simulation tools (e.g., Synopsys VCS, Cadence Xcelium), scripting languages (Python, Perl), and familiarity with UVM or SystemVerilog is typically required. Strong problem-solving skills, effective communication, and the ability to work independently and collaboratively in distributed teams are valuable soft skills. These competencies are crucial for ensuring robust chip validation, efficient remote collaboration, and successful project delivery in complex hardware development environments.
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Asic Verification Engineer Remote jobs near you

Data Engineer

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

Re-posted 8 days ago

Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

76th of 485 rated business services

Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.

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