diff --git a/backends/cadence/aot/functions_hifi.yaml b/backends/cadence/aot/functions_hifi.yaml
index 31d61d5d94..47006430a3 100644
--- a/backends/cadence/aot/functions_hifi.yaml
+++ b/backends/cadence/aot/functions_hifi.yaml
@@ -65,7 +65,7 @@
 - op: full.out
   kernels:
     - arg_meta: null
-      kernel_name: torch::executor::full_out
+      kernel_name: impl::HiFi::full_out
 
 - op: maximum.out
   kernels:
diff --git a/backends/cadence/hifi/operators/CMakeLists.txt b/backends/cadence/hifi/operators/CMakeLists.txt
index 77fcbbbaa5..da29ae4a0b 100644
--- a/backends/cadence/hifi/operators/CMakeLists.txt
+++ b/backends/cadence/hifi/operators/CMakeLists.txt
@@ -24,6 +24,7 @@ set(_aten_ops__srcs
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_bmm.cpp"
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_clamp.cpp"
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_div.cpp"
+    "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_full.cpp"
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_maximum.cpp"
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_mean.cpp"
     "${EXECUTORCH_ROOT}/backends/cadence/hifi/operators/op_minimum.cpp"
diff --git a/backends/cadence/hifi/operators/op_full.cpp b/backends/cadence/hifi/operators/op_full.cpp
new file mode 100644
index 0000000000..212fe3b306
--- /dev/null
+++ b/backends/cadence/hifi/operators/op_full.cpp
@@ -0,0 +1,91 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/cadence/hifi/kernels/kernels.h>
+#include <executorch/kernels/portable/cpu/scalar_utils.h>
+#include <executorch/runtime/kernel/kernel_includes.h>
+#include <stdio.h>
+
+namespace impl {
+namespace HiFi {
+namespace native {
+
+using exec_aten::IntArrayRef;
+using exec_aten::RuntimeContext;
+using exec_aten::Scalar;
+using exec_aten::ScalarType;
+using exec_aten::Tensor;
+using torch::executor::Error;
+using torch::executor::native::utils::extract_scalar;
+using torch::executor::native::utils::get_scalar_dtype;
+
+Tensor& full_out(
+    RuntimeContext& ctx,
+    const IntArrayRef sizes,
+    const Scalar& fill_value,
+    Tensor& out) {
+  (void)ctx;
+
+  ScalarType val_type = get_scalar_dtype(fill_value);
+  ScalarType out_type = out.scalar_type();
+
+  // Resize for dynamic shape
+  ET_KERNEL_CHECK_MSG(
+      ctx,
+      resize_tensor(out, sizes) == Error::Ok,
+      InvalidArgument,
+      out,
+      "Failed to resize output tensor.");
+
+  constexpr auto name = "full.out";
+
+  bool optimized = 0;
+  if (out_type == ScalarType::Long || out_type == ScalarType::Float ||
+      out_type == ScalarType::Byte || out_type == ScalarType::Char)
+    optimized = 1;
+
+  if (optimized) {
+    if (out_type == ScalarType::Long) {
+      int* data_out = out.mutable_data_ptr<int>();
+      int64_t val = fill_value.to<int64_t>();
+      int val_casted = static_cast<int>(val);
+      for (size_t i = 0; i < out.numel(); ++i) {
+        data_out[i] = val_casted;
+      }
+    } else if (out_type == ScalarType::Float) {
+      float* data_out = out.mutable_data_ptr<float>();
+      double val = fill_value.to<double>();
+      float val_casted = static_cast<float>(val);
+      xa_nn_memset_f32_f32(data_out, val_casted, out.numel());
+    } else if (out_type == ScalarType::Byte || out_type == ScalarType::Char) {
+      char* data_out = out.mutable_data_ptr<char>();
+      int val = fill_value.to<int64_t>();
+      memset((void*)data_out, val, out.numel());
+    }
+
+    return out;
+  }
+
+  ET_SWITCH_SCALAR_OBJ_TYPES(val_type, ctx, name, CTYPE_VAL, [&] {
+    CTYPE_VAL val;
+    extract_scalar(fill_value, &val);
+
+    ET_SWITCH_REAL_TYPES_AND(Bool, out_type, ctx, "full", CTYPE_OUT, [&] {
+      CTYPE_OUT val_casted = static_cast<CTYPE_OUT>(val);
+      auto data_out = out.mutable_data_ptr<CTYPE_OUT>();
+      for (size_t i = 0; i < out.numel(); ++i) {
+        data_out[i] = val_casted;
+      }
+    });
+  });
+  return out;
+}
+
+} // namespace native
+} // namespace HiFi
+} // namespace impl