Clash
of Jobs
Browse All Jobs
Job Description
Tenstorrent is seeking a skilled ML/AI Engineer to enhance its CAD Infrastructure team. This role focuses on revolutionizing post-silicon validation through AI/ML techniques. The candidate will bridge traditional methodologies with cutting-edge AI to improve validation infrastructure. This is a hybrid role based in Santa Clara, CA, Austin, TX, or Portland, OR.
Responsibilities:
- Develop ML-powered systems for automated post-silicon validation and debug
- Build and maintain infrastructure for large-scale silicon characterization and testing
- Create predictive models for silicon behavior analysis and performance optimization
- Implement AI-driven solutions for anomaly detection in silicon bring-up and validation
- Build ML pipelines for processing and analyzing massive post-silicon validation datasets
- Develop infrastructure for automated root cause analysis of silicon issues
Requirements:
- Master's degree or Ph.D. in Computer Science, Electrical Engineering, or related field
- 5+ years of experience in post-silicon validation, silicon bring-up, or CAD infrastructure development
- Strong background in machine learning and deep learning frameworks (PyTorch, TensorFlow)
- Proficiency in Python and experience with data analysis libraries (NumPy, Pandas, Scikit-learn)
- Strong understanding of computer architecture and instruction set architectures (ISAs)
- Experience with post-silicon validation tools and methodologies
- Machine Learning: Deep learning, reinforcement learning, neural networks
- Programming: Python, C++, Assembly, Shell scripting
- ML Frameworks: PyTorch, TensorFlow, Scikit-learn
- Debug Tools: ILA, JTAG, trace analyzers
- Data Analysis: SQL, Pandas, NumPy, signal processing
- Strong analytical and problem-solving abilities
- Excellent communication skills to collaborate with cross-functional teams
- Ability to drive innovation in a fast-paced environment
Tenstorrent offers:
- A highly competitive compensation package and benefits
