AI Inference Engineer

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Role :

The AI Inference Engineer in Quadric is the key bridge between the world of AI / LLM models and Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI models to Quadric platform; [2] optimize the model deployment for efficient inference; [3] profile and benchmark the model performance. This senior technical role demands deep knowledge of AI model algorithms, system architecture and AI toolchains / frameworks.

Responsibilities :

• Quantize, prune and convert models for deployment
• Port models to Quadric platform using Quadric toolchain
• Optimize inference deployment for latency, speed
• Benchmark and profile model performance and accuracy
• Develop tools to scale and speed up the deployment
• Make Improvement to SDK and runtime
• Provide technical support and documents to customers and developer community

Requirements

Requirements :

Benefits