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Machine Learning Kernels Engineer
4 weeks ago
This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$150,000.00/yr - $200,000.00/yr
Additional compensation typesAnnual Bonus and Stock options
Direct message the job poster from Acceler8 Talent
In-Memory Computing | RISC-V | Semiconductors Startup SenseiWe are seeking a Machine Learning Kernels Engineer to join a well-established and funded startup who are developing a ground-breaking at-memory AI chip architecture. This approach addresses the accuracy and efficiency challenges in running AI inference workloads.
You'll join a team who's mission is to build implementations of real-world neural network kernels specialized for the company's unique hardware architecture - maximizing compute and communication throughput.
Responsibilities:
- Design and implement low-level kernels for various neural network operations.
- Work with Compiler team to design configuration APIs for these kernels.
- Collaborate with architects and compiler engineers to create performance optimizations for future generations.
- Design overall computation strategies for multi-kernel, multichip neural network implementations.
Requirements:
- MS or PhD in CS, Math, Physics or related field.
- Expertise in modern C++ and experience utilizing it in code generation and low-level compute optimizations.
- Strong knowledge of basic NN operator algorithms (convolutions, transformers, RNNs, etc.)
- Python experience and strong mathematical skills.
- Experience working on other AI Accelerators is a huge plus
- Seniority level Mid-Senior level
- Employment type Full-time
- Industries Semiconductor Manufacturing and Software Development
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