What are the responsibilities and job description for the GPU Design Verification Engineer position at Jobs via Dice?
Job Description
Onsite 5 days a week in Austin, TX
Vertical Technical
Description
We are seeking a highly skilled Design Verification Engineer to join our team. The successful candidate will be responsible for verifying the functionality and performance of our cutting-edge GPU designs. Your primary focus will be on developing and executing verification plans, creating testbenches, and debugging complex GPU designs to ensure they meet the required specifications and quality standards.
Develop and execute comprehensive verification plans for GPU designs, including identifying verification goals, creating testbenches, and defining coverage metrics.
Design, develop, and maintain verification testbenches using languages such as System Verilog, UVM, and C to verify GPU functionality, performance, and power consumption.
You ensure comprehensive functional and performance coverage by creating complex test scenarios and test cases to validate GPU features, performance, and functionality.
You analyze results and debug complex GPU designs to identify and report bugs, and collaborate with design engineers to resolve issues.
Work closely with cross-functional teams, including design, architecture, and software teams, to ensure that verification efforts are aligned with project goals and requirements.
Maintain accurate and up-to-date documentation of verification plans, testbenches, and results.
Minimum Requirements:
10 years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 8 years of experience with a Master's degree, or 6 years of experience with a PhD.
5 years of experience in GPU/CPU design verification or a related field.
Proficiency in System Verilog, UVM, and scripting languages (e.g., Python, Perl).
Experience with industry-standard verification tools and methodologies.
Excellent problem-solving and debugging skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
Onsite 5 days a week in Austin, TX
Vertical Technical
Description
We are seeking a highly skilled Design Verification Engineer to join our team. The successful candidate will be responsible for verifying the functionality and performance of our cutting-edge GPU designs. Your primary focus will be on developing and executing verification plans, creating testbenches, and debugging complex GPU designs to ensure they meet the required specifications and quality standards.
Develop and execute comprehensive verification plans for GPU designs, including identifying verification goals, creating testbenches, and defining coverage metrics.
Design, develop, and maintain verification testbenches using languages such as System Verilog, UVM, and C to verify GPU functionality, performance, and power consumption.
You ensure comprehensive functional and performance coverage by creating complex test scenarios and test cases to validate GPU features, performance, and functionality.
You analyze results and debug complex GPU designs to identify and report bugs, and collaborate with design engineers to resolve issues.
Work closely with cross-functional teams, including design, architecture, and software teams, to ensure that verification efforts are aligned with project goals and requirements.
Maintain accurate and up-to-date documentation of verification plans, testbenches, and results.
Minimum Requirements:
10 years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 8 years of experience with a Master's degree, or 6 years of experience with a PhD.
5 years of experience in GPU/CPU design verification or a related field.
Proficiency in System Verilog, UVM, and scripting languages (e.g., Python, Perl).
Experience with industry-standard verification tools and methodologies.
Excellent problem-solving and debugging skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.