diff --git a/src/gt4py/next/program_processors/runners/dace_iterator/__init__.py b/src/gt4py/next/program_processors/runners/dace_iterator/__init__.py
index 97dd90eb54..7fd4794e57 100644
--- a/src/gt4py/next/program_processors/runners/dace_iterator/__init__.py
+++ b/src/gt4py/next/program_processors/runners/dace_iterator/__init__.py
@@ -207,6 +207,7 @@ def get_sdfg_args(sdfg: dace.SDFG, *args, **kwargs) -> dict[str, Any]:
     neighbor_tables = filter_neighbor_tables(offset_provider)
     device = dace.DeviceType.GPU if on_gpu else dace.DeviceType.CPU
 
+    sdfg_sig = sdfg.signature_arglist(with_types=False)
     dace_args = get_args(sdfg, args)
     dace_field_args = {n: v for n, v in dace_args.items() if not np.isscalar(v)}
     dace_conn_args = get_connectivity_args(neighbor_tables, device)
@@ -224,11 +225,8 @@ def get_sdfg_args(sdfg: dace.SDFG, *args, **kwargs) -> dict[str, Any]:
         **dace_conn_strides,
         **dace_offsets,
     }
-    expected_args = {
-        key: value
-        for key, value in all_args.items()
-        if key in sdfg.signature_arglist(with_types=False)
-    }
+    expected_args = {key: all_args[key] for key in sdfg_sig}
+
     return expected_args
 
 
@@ -258,21 +256,22 @@ def build_sdfg_from_itir(
     # TODO(edopao): As temporary fix until temporaries are supported in the DaCe Backend force
     #                `lift_more` to `FORCE_INLINE` mode.
     lift_mode = itir_transforms.LiftMode.FORCE_INLINE
-
     arg_types = [type_translation.from_value(arg) for arg in args]
-    device = dace.DeviceType.GPU if on_gpu else dace.DeviceType.CPU
 
     # visit ITIR and generate SDFG
     program = preprocess_program(program, offset_provider, lift_mode)
+    # TODO: According to Lex one should build the SDFG first in a general mannor.
+    #       Generalisation to a particular device should happen only at the end.
     sdfg_genenerator = ItirToSDFG(arg_types, offset_provider, column_axis, on_gpu)
     sdfg = sdfg_genenerator.visit(program)
     sdfg.simplify()
 
     # run DaCe auto-optimization heuristics
     if auto_optimize:
-        # TODO Investigate how symbol definitions improve autoopt transformations,
-        #      in which case the cache table should take the symbols map into account.
+        # TODO: Investigate how symbol definitions improve autoopt transformations,
+        #       in which case the cache table should take the symbols map into account.
         symbols: dict[str, int] = {}
+        device = dace.DeviceType.GPU if on_gpu else dace.DeviceType.CPU
         sdfg = autoopt.auto_optimize(sdfg, device, symbols=symbols, use_gpu_storage=on_gpu)
 
     return sdfg
diff --git a/src/gt4py/next/program_processors/runners/dace_iterator/itir_to_sdfg.py b/src/gt4py/next/program_processors/runners/dace_iterator/itir_to_sdfg.py
index b3e6662623..e3b5ddf2ac 100644
--- a/src/gt4py/next/program_processors/runners/dace_iterator/itir_to_sdfg.py
+++ b/src/gt4py/next/program_processors/runners/dace_iterator/itir_to_sdfg.py
@@ -209,14 +209,9 @@ def visit_FencilDefinition(self, node: itir.FencilDefinition):
                 last_state.add_edge(nsdfg_node, inner_name, access_node, None, memlet)
 
         # Create the call signature for the SDFG.
-        #  All arguments required by the SDFG, regardless if explicit and implicit, are added
-        #  as positional arguments. In the front are all arguments to the Fencil, in that
-        #  order, they are followed by the arguments created by the translation process,
-        arg_list = [str(a) for a in node.params]
-        sig_list = program_sdfg.signature_arglist(with_types=False)
-        implicit_args = set(sig_list) - set(arg_list)
-        call_params = arg_list + [ia for ia in sig_list if ia in implicit_args]
-        program_sdfg.arg_names = call_params
+        #  Only the arguments requiered by the Fencil, i.e. `node.params` are added as poitional arguments.
+        #  The implicit arguments, such as the offset providers or the arguments created by the translation process, must be passed as keywords only arguments.
+        program_sdfg.arg_names = [str(a) for a in node.params]
 
         program_sdfg.validate()
         return program_sdfg