diff --git a/src/gt4py/next/program_processors/runners/dace_common/utility.py b/src/gt4py/next/program_processors/runners/dace_common/utility.py
index d678fdab7f..bc01e2abda 100644
--- a/src/gt4py/next/program_processors/runners/dace_common/utility.py
+++ b/src/gt4py/next/program_processors/runners/dace_common/utility.py
@@ -19,7 +19,7 @@
 
 
 # regex to match the symbols for field shape and strides
-FIELD_SYMBOL_RE: Final[re.Pattern] = re.compile("__.+_(size|stride)_\d+")
+FIELD_SYMBOL_RE: Final[re.Pattern] = re.compile(r"__.+_(size|stride)_\d+")
 
 
 def as_dace_type(type_: ts.ScalarType) -> dace.typeclass:
diff --git a/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py b/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
index 85ae95c432..aa4fd0cd3e 100644
--- a/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
+++ b/src/gt4py/next/program_processors/runners/dace_fieldview/workflow.py
@@ -57,7 +57,12 @@ def generate_sdfg(
         if auto_opt:
             gtx_transformations.gt_auto_optimize(sdfg, gpu=on_gpu)
         elif on_gpu:
-            gtx_transformations.gt_gpu_transformation(sdfg, try_removing_trivial_maps=False)
+            # We run simplify to bring the SDFG into a canonical form that the gpu transformations
+            # can handle. This is a workaround for an issue with scalar expressions that are
+            # promoted to symbolic expressions and computed on the host (CPU), but the intermediate
+            # result is written to a GPU global variable (https://github.com/spcl/dace/issues/1773).
+            gtx_transformations.gt_simplify(sdfg)
+            gtx_transformations.gt_gpu_transformation(sdfg, try_removing_trivial_maps=True)
 
         return sdfg
 
diff --git a/tests/next_tests/definitions.py b/tests/next_tests/definitions.py
index c86ba88ead..01fd18897d 100644
--- a/tests/next_tests/definitions.py
+++ b/tests/next_tests/definitions.py
@@ -193,11 +193,7 @@ class ProgramFormatterId(_PythonObjectIdMixin, str, enum.Enum):
     OptionalProgramBackendId.DACE_CPU: DACE_SKIP_TEST_LIST,
     OptionalProgramBackendId.DACE_GPU: DACE_SKIP_TEST_LIST,
     OptionalProgramBackendId.GTIR_DACE_CPU: GTIR_DACE_SKIP_TEST_LIST,
-    OptionalProgramBackendId.GTIR_DACE_GPU: GTIR_DACE_SKIP_TEST_LIST
-    + [
-        # TODO(edopao): Enable when GPU codegen issues related to symbolic domain are fixed.
-        (ALL, XFAIL, UNSUPPORTED_MESSAGE),
-    ],
+    OptionalProgramBackendId.GTIR_DACE_GPU: GTIR_DACE_SKIP_TEST_LIST,
     ProgramBackendId.GTFN_CPU: GTFN_SKIP_TEST_LIST
     + [(USES_SCAN_NESTED, XFAIL, UNSUPPORTED_MESSAGE)],
     ProgramBackendId.GTFN_CPU_IMPERATIVE: GTFN_SKIP_TEST_LIST
diff --git a/tests/next_tests/integration_tests/feature_tests/ffront_tests/test_execution.py b/tests/next_tests/integration_tests/feature_tests/ffront_tests/test_execution.py
index f10f195d3a..a5453151e6 100644
--- a/tests/next_tests/integration_tests/feature_tests/ffront_tests/test_execution.py
+++ b/tests/next_tests/integration_tests/feature_tests/ffront_tests/test_execution.py
@@ -7,21 +7,14 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 from functools import reduce
-from gt4py.next.otf import languages, stages, workflow
-from gt4py.next.otf.binding import interface
 import numpy as np
 import pytest
-import diskcache
-from gt4py.eve import SymbolName
-
 import gt4py.next as gtx
 from gt4py.next import (
     astype,
     broadcast,
     common,
-    constructors,
     errors,
-    field_utils,
     float32,
     float64,
     int32,
@@ -30,8 +23,6 @@
     neighbor_sum,
 )
 from gt4py.next.ffront.experimental import as_offset
-from gt4py.next.program_processors.runners import gtfn
-from gt4py.next.type_system import type_specifications as ts
 from gt4py.next import utils as gt_utils
 
 from next_tests.integration_tests import cases
@@ -306,7 +297,7 @@ def test_double_use_scalar(cartesian_case):
     # TODO(tehrengruber): This should be a regression test on ITIR level, but tracing doesn't
     #  work for this case.
     @gtx.field_operator
-    def testee(a: np.int32, b: np.int32, c: cases.IField) -> cases.IField:
+    def testee(a: int32, b: int32, c: cases.IField) -> cases.IField:
         tmp = a * b
         tmp2 = tmp * tmp
         # important part here is that we use the intermediate twice so that it is