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You will serve as a hands-on technical leader focused on the deployment, optimization, and scaling of AI workloads on embedded and edge computing platforms. You will work at the intersection of AI, embedded systems, software architecture, and
You’ll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive industry benchmarks, and scale workloads across multi-GPU, multi-node, and multi-cloud environments. You’ll collaborate across inference,
The role involves close collaboration with the ML hardware design and verification teams to contribute to product design, specification, and verification. It also includes collaborating with the compiler team to optimize hardware performance and
Design, development, integration, evaluation and verification of DSP audio filters and algorithms; Design, development, integration and verification DSP embedded solutions; Specification, design and implementation of embedded hardware and software DSP