Automation Engineer for Scalable GPU Verification Environments
2 weeks ago
This role supports GPU verification teams by building large-scale, automated simulation environments and infrastructure tools.
- Design, develop, and maintain infrastructure for scalable GPU simulation and hardware verification.
- Build automation tools using Python and intelligent agents to support DV workflows.
- Collaborate with cross-functional teams to optimize simulation performance and resource usage.
- Support engineers with training, troubleshooting, and infrastructure improvements.
Key Responsibilities:
- Develop and maintain scalable automation frameworks to improve engineering productivity.
- Collaborate with cross-functional teams to optimize simulation workflows and resource utilization.
- Implement and maintain high-quality, reliable, and efficient simulation environments.
Requirements:
- Bachelor's degree in Science or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
- Or Master's degree in Science or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
- Or PhD in Science or related field.
About the Role:
- The company offers a range of benefits, including salary, stock, and performance-related bonuses, maternity/paternity leave, education assistance, and more.
- We are an equal opportunity employer committed to providing an accessible hiring process.
The ideal candidate will possess excellent problem-solving skills, strong collaboration abilities, and a passion for staying up-to-date with industry trends.
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