- Office in San Jose
Job Details:
Job Description:
We are seeking a talented and proactive AI Software Intern to join our Post-Silicon Validation team. In this role, you will take ownership of designing, developing, and deploying AI-driven solutions that enhance the efficiency and effectiveness of our semiconductor validation processes. This internship offers hands-on experience at the intersection of AI and hardware, giving you the opportunity to deliver impactful solutions in a cutting-edge, real-world environment.
In this role, you will have the opportunity to:
AI Solution Development:
Own and deliver end-to-end AI projects, from ideation to deployment, aimed at automating and improving post-silicon validation workflows.
Data Engineering & Analysis:
Collect, preprocess, and analyze validation data to identify patterns, anomalies, and opportunities for AI-driven automation and decision-making.
Model Training & Evaluation:
Design, train, and evaluate machine learning models to solve complex validation challenges, such as anomaly detection, predictive maintenance, and test optimization.
Integration & Deployment:
Integrate AI models and solutions into existing post-silicon validation software and hardware environments, ensuring scalability and robustness.
Collaboration:
Partner with validation engineers, software developers, and hardware teams to understand requirements, share progress, and incorporate feedback into solution development.
Automation & Tooling:
Develop and maintain scripts and tools to automate data collection, model training, and deployment processes.
Debugging & Troubleshooting:
Investigate and resolve issues related to AI model performance, integration, and data inconsistencies in validation workflows.
Documentation & Knowledge Sharing:
Create comprehensive documentation for AI solutions, workflows, and results, facilitating future adoption and team learning.
Salary Range
Our compensation reflects the cost of labor within the US market. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$71.6k - $92.1k USD
#LI-CG1
Qualifications:
Qualifications:
Currently pursuing a University degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
Hands-on experience with Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with data analysis and engineering concepts
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Demonstrated initiative and ownership of technical projects