Role focuses on optimizing ML inference for edge accelerators and GPUs.
Work on production-ready systems to run large transformer models on low-power edge devices.
Collaborate across ML systems, compilers, runtimes, kernels, and embedded deployment.

🎯 Requirements

Proven experience improving performance in constrained production systems.
Strong proficiency with TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX.
Comfort operating from high-level model behavior to low-level kernel/runtime execution.
Solid software engineering fundamentals: debugging, profiling, testing, maintainable code.
Clear communicator and collaborative teammate able to align stakeholders on trade-offs.

🎁 Benefits

Not specified in the listing.

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