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Artificial Intelligence • Hardware • Software
The role involves developing and maintaining functional performance models for hardware, building tools for correlation debugging and testing, collaborating with various cross-functional teams, and optimizing performance through architectural decisions, particularly leveraging GPUs.
Artificial Intelligence • Hardware • Software
Design and implement compilers tailored for proprietary hardware, focusing on mid-end and backend development, while providing insights on hardware architecture.
Artificial Intelligence • Hardware • Software
The Hardware System Engineer will design AI compute boards, collaborate across teams, debug hardware issues, and deliver effective silicon products.
Artificial Intelligence • Hardware • Software
The Design Verification Engineer will contribute to verification methodology, execute verification tasks, and support silicon milestones for MatX products.
Artificial Intelligence • Hardware • Software
The role involves training and optimizing large language models for MatX's hardware, setting up distributed systems for training and inference, and advising on hardware architecture.
Artificial Intelligence • Hardware • Software
The role involves silicon verification, including creating testbenches, driving verification plans, and ensuring silicon accuracy through advanced methodologies.
Artificial Intelligence • Hardware • Software
The ML Performance Engineer develops performance models, writes production libraries for ML, and collaborates on solutions from model to hardware.
Artificial Intelligence • Hardware • Software
The role involves developing scalable silicon physical designs, coordinating with multiple teams, and ensuring performance, power, and area results from RTL to GDSII.
Artificial Intelligence • Hardware • Software
The role involves implementing DFT for silicon products, integrating DFT solutions, and collaborating with design teams to optimize performance and functionality.
Artificial Intelligence • Hardware • Software
Design and optimize software kernels for specialized hardware, collaborating with ML Research and Hardware Engineering teams to integrate software stacks.