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Artificial Intelligence
The Quality Engineer Lead at Cerebras is responsible for standardizing quality metrics across the system pipeline, prioritizing and driving quality improvements, collaborating with systems engineering, and implementing quality control processes. This role requires strong analytical skills, leadership, and the ability to work under pressure to ensure high-quality standards are maintained throughout the product lifecycle.
Top Skills:
Statistical Analysis
Artificial Intelligence
The Senior Hardware Technical Program Manager at Cerebras Systems leads the operational excellence of high-performance AI compute systems, managing end-to-end hardware schedules, engineering issues, and BOM. The role involves collaboration across multiple teams to ensure efficient deployment of supercomputers, technical risk mitigation, and cost management.
Artificial Intelligence
As a Platform Software Engineer at Cerebras, you'll optimize their AI cloud platform for model training and inference, focusing on latency, load balancing, and system reliability. Responsibilities include defining production requirements, implementing scaling strategies, managing API servers, and resolving system bottlenecks.
Top Skills:
Cloud ServicesMachine Learning
Artificial Intelligence
The Principal Product Manager for ML at Cerebras will be responsible for productizing key ML use cases by collaborating with product leadership, research teams, and engineering. This role involves defining product roadmaps, understanding market requirements, and communicating effectively across various audiences to drive AI innovations.
Top Skills:
PyTorchTensorFlow
Artificial Intelligence
As a Physical Design Engineer, you will be involved in the synthesis, place, and route of critical processing elements, with a focus on physical design and implementation. You'll collaborate with the RTL team and ensure full-chip integration while optimizing performance, power, and area.
Top Skills:
PythonTcl
Artificial Intelligence
The Performance Engineer will build performance models for deep learning applications, optimize kernel microcode and compiler algorithms, debug runtime performance, and design features for ML architectures. Responsibilities also include creating tools for visualizing performance data from the Cerebras WSE and compute clusters.
Top Skills:
C++Python
Artificial Intelligence
Cerebras is seeking a Performance Technical Lead Manager to build performance models, optimize kernel microcode and compiler algorithms for ML model utilization, debug runtime performance, design features for ML architectures, and develop performance visualization tools. The role requires strong leadership and communication skills, with a focus on computer architecture and performance validation.
Top Skills:
C++Python
Artificial Intelligence
The ML Stack Optimization Engineer will design, develop, and optimize compiler technologies for AI chips using LLVM and MLIR. They will address performance bottlenecks, work with machine learning teams to integrate optimizations, and contribute to advancing compiler technologies for enhanced performance in AI applications.
Top Skills:
C/C++Python
Artificial Intelligence
As a Performance Engineer at Cerebras, you will build performance models, optimize algorithms, debug runtime performance, and develop tools for visualizing performance data specifically for deep learning workloads. You'll work on enhancing CPU/GPU utilization on the Cerebras Wafer Scale Engine and participate in designing features for upcoming ML architectures.
Top Skills:
C++Python
Artificial Intelligence
The Performance Engineer at Cerebras is responsible for developing performance models, tools for performance analysis, and collaborating with hardware and software teams to optimize workload performance. This role involves low-level assembly as well as high-level algorithm optimization, focusing on enhancing overall system performance for deep learning workloads.
Top Skills:
CC++Python
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