GPU Design Verification Engineer
Job Details:
Job Description:
Performs functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements. Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications. Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the pre-silicon environment. Finds and implements corrective measures to resolve failing tests. Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. Documents test plans and drives technical reviews of plans and proofs with design and architecture teams. Maintains and improves existing functional verification infrastructure and methodology. Participates in the definition of verification infrastructure and related TFMs needed for functional design verification.
Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
Bachelor’s Degree in Electrical Engineering or related field of study with 1+ years of relevant experience or a MS in Electrical Engineering or related field of study.
Experience with system Verilog and UVM environment
Experience with computer architecture
Experience with ASIC Design and Verification
Debug experience with simulation models.
Preferred Qualifications:
GPU architecture knowledge
Test plan, coverage plan coding and execution experience
Familiar with AI tools for design and verification
Familiarity with ML tools
Memory architecture knowledge
Job Type:
College GradShift:
Shift 1 (United States of America)Primary Location:
US, California, FolsomAdditional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $105,650.00-149,150.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.