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Gpu Design Verification Engineer Jobs in Colorado

Test Verification Engineer

Longmont, CO ยท On-site

$80K - $90K/yr

About This Role The Design & Test Verification Engineering / Technologist is a broad ranging position responsible for developing and executing test strategies to verify and validate product designs ...

Test Verification Engineer

Boulder, CO ยท On-site

$80K - $90K/yr

About This Role The Design & Test Verification Engineering / Technologist is a broad ranging position responsible for developing and executing test strategies to verify and validate product designs ...

FPGA Verification Engineer II

Westminster, CO ยท On-site

$113K - $136K/yr

Contribute to the evaluation and technical implementation of FPGA and digital design simulation ... Aid the Lead Verification Engineer in evaluating current processes regarding FPGA and digital ...

Showing results 21-40

Gpu Design Verification Engineer information

What is a GPU design verification engineer?

GPU Design Verification Engineers are professionals who ensure that graphics processing unit (GPU) designs function correctly and meet specified requirements before they are manufactured. They develop and execute test plans, create verification environments, and use simulation tools to identify and resolve design issues. Their work is critical in detecting flaws early in the development process, which helps save time and resources and ensures high-quality GPU products. They often collaborate closely with design, architecture, and validation teams to deliver reliable and efficient GPUs.

What are some common challenges faced by GPU design verification engineers during the verification process?

GPU Design Verification Engineers often encounter challenges related to the sheer complexity and scale of modern GPU architectures. Ensuring comprehensive test coverage for a large number of features and corner cases requires meticulous planning and advanced verification methodologies, such as UVM or SystemVerilog. Debugging failures can be particularly demanding due to intricate interactions between hardware and software components. Collaboration with design, architecture, and software teams is essential to resolve ambiguous specifications and to ensure timely bug fixes. Staying updated with evolving verification tools and automation techniques is also critical for maintaining efficiency and effectiveness.

What are the key skills and qualifications needed to thrive as a GPU design verification engineer, and why are they important?

To thrive as a GPU Design Verification Engineer, you need a solid background in computer engineering or electrical engineering, strong proficiency in digital design concepts, and experience with hardware verification methodologies. Expertise in verification languages such as SystemVerilog, UVM, and tools like simulation/emulation platforms and code coverage analyzers is typically required. Excellent problem-solving, attention to detail, and effective communication skills distinguish top performers in this role. These capabilities are essential for ensuring GPU designs are robust, efficient, and meet performance and functionality requirements before mass production.

What is the difference between Gpu Design Verification Engineer vs Gpu Validation Engineer?

AspectGpu Design Verification EngineerGpu Validation Engineer
Primary FocusVerifying GPU design correctness before manufacturingTesting and validating GPU performance post-production
Work EnvironmentDesign teams, simulation, and hardware description languagesTesting labs, hardware testing, and performance analysis
Required SkillsHardware description languages, verification methodologies, scriptingHardware testing, performance benchmarking, debugging

The Gpu Design Verification Engineer focuses on ensuring the GPU design is correct and bug-free before manufacturing, using simulation and verification tools. In contrast, the Gpu Validation Engineer tests the GPU hardware after production to confirm it meets performance and reliability standards. Both roles require technical expertise but differ in their stage of involvement and specific tasks.

What job categories do people searching Gpu Design Verification Engineer jobs in Colorado look for? The top searched job categories for Gpu Design Verification Engineer jobs in Colorado are:
Infographic showing various Gpu Design Verification Engineer job openings in Colorado as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution.

Test Verification Engineer

SOCOMEC

Longmont, CO โ€ข On-site

$80K - $90K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description


Socomec Group (Socomec) is a global leader in electrical equipment engineering and manufacturing, specialized in low voltage energy performance.
Socomec North America (NAM) is Socomec's organization overseeing all operations in North America.
About This Role
The Design & Test Verification Engineering / Technologist is a broad ranging position responsible for developing and executing test strategies to verify and validate product designs against functional, performance, and a subset of regulatory requirements. This testing will include a combination of hardware and software, such as product GUI's or API's. This role requires learning to use products from several lineages of development including configuration tools and software. The purpose of this activity is to promote product robustness and represents an internal customer perspective.
Key Responsibilities And Accountabilities
  • Develop test plans, procedures, and reports for design verification and validation.
  • Design and build test setups, fixtures, and automation tools as needed.
  • Execute functional, environmental, performance, and stress testing.
  • Work closely with firmware, electrical, and mechanical engineers to define test coverage.
  • Support regulatory, certification, and compliance testing activities.
  • Analyze test results and provide clear feedback to the development team.
  • Support production test development and manufacturing handoff.
  • This position will require learning about electrical power monitoring to evaluate the correctness of reported values.
  • Adapt to using tools and methods within an international development team using the Helix ALM test case tracking system.

Essential Qualifications, Experience, And Skills
  • Bachelor's degree in Electrical, Mechanical, Quality Engineering or related technical experience such as an AAS degree in electronics.
  • 3+ years of experience in product test, validation, or verification engineering (or equivalent experience).
  • Strong hands on lab skills and experience with test equipment.
  • Ability to write clear test documentation and reports.
  • Strong organizational skills, especially with revision tracking.
  • Experience working with AC voltages up to 600 VAC.
  • Experience with automated test systems or scripting (Python, LabVIEW, or similar).
  • Experience supporting production test or manufacturing environments.
  • Strong use of Microsoft Excel.
  • Mentoring, collaboration, influencing, and negotiation skills.
  • Encourages and demonstrates accountability.
  • Successfully establishes and maintains long-term relationships.
  • Result oriented and hands on.
  • Entrepreneurial, resourceful, innovative and energetic; demonstrates a passion for results and a winning outlook.
  • Analytical and detail-oriented.
  • Strong verbal and written communication skills with the business acumen to clearly present concepts and ideas.
  • Consistently demonstrates the highest level of integrity in all interactions and decision-making.

Compensation: $80,000 to $90,000 USD
Upon request, we will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
All applications are reviewed directly by the Socomec North America Talent Acquisition team and other human reviewers. No automated or AI-based systems are used to make decisions in the application review process.
We thank all those who apply. However, only those candidates selected for an interview will be contacted.
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