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AI Accelerator Software Principal Engineer- Framework Integration
Ampere Computing · Portland, OR · Posted 94 days ago
Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!
About the Role
As an AI Accelerator Software Principal Engineer – Framework Integration, you will lead the design and delivery of high-performance, low-latency deep learning inference solutions. You’ll help advance Ampere’s AI software stack by integrating and optimizing popular deep learning frameworks so models can run efficiently across data center and edgeenvironments—meeting the performance and efficiency requirements of next-generation AI workloads.
You will operate at the intersection of software engineering, performance engineering, and hardware-aware optimization, contributing to the full stack from model execution to accelerator-ready kernel performance.
What You’ll Achieve:
Framework integration for accelerator backends
Integrate and optimize deep learning frameworks—such as PyTorch, ONNX, and llama.cpp—for the Ampere deep learning accelerator backend, enabling efficient and correct execution across a wide set of model types. End-to-end deep learning performance acceleration
Go deep into the full software/hardware execution stack, including:
inference serving and orchestration framework integration layers compiler and graph/runtime support runtime libraries and user-mode execution paths compute kernel development profiling, benchmarking, and performance tuning
Model enablement with quality and speed
…
This posting is sourced from Ampere Computing's own career site — applying takes you there directly.
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This role centers on Python, C++, Pytorch, and Onnx. There are 19 open roles at Ampere Computing right now.
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