diff --git a/libensemble/tests/regression_tests/test_ensemble_platform_workdir.py b/libensemble/tests/regression_tests/test_ensemble_platform_workdir.py
new file mode 100644
index 000000000..da7a35ad0
--- /dev/null
+++ b/libensemble/tests/regression_tests/test_ensemble_platform_workdir.py
@@ -0,0 +1,91 @@
+import glob
+import os
+import re
+import numpy as np
+
+from libensemble.alloc_funcs.start_only_persistent import only_persistent_gens as alloc_f
+from libensemble.executors.mpi_executor import MPIExecutor
+from libensemble.gen_funcs.persistent_sampling_var_resources import uniform_sample as gen_f
+
+# Import libEnsemble items for this test
+from libensemble import Ensemble
+from libensemble.resources.platforms import PerlmutterGPU
+from libensemble.sim_funcs import six_hump_camel
+from libensemble.sim_funcs.var_resources import gpu_variable_resources as sim_f
+from libensemble.specs import LibeSpecs
+
+
+# from libensemble import logger
+# logger.set_level("DEBUG")  # For testing the test
+
+# Main block is necessary only when using local comms with spawn start method (default on macOS and Windows).
+if __name__ == "__main__":
+    # Get paths for applications to run
+    six_hump_camel_app = six_hump_camel.__file__
+    n = 2
+
+    alloc_specs = {
+        "alloc_f": alloc_f,
+        "user": {
+            "give_all_with_same_priority": False,
+            "async_return": False,  # False batch returns
+        },
+    }
+
+    exit_criteria = {"sim_max": 20}
+
+    # Ensure LIBE_PLATFORM environment variable is not set.
+    if "LIBE_PLATFORM" in os.environ:
+        del os.environ["LIBE_PLATFORM"]
+
+    exctr = MPIExecutor()
+    exctr.register_app(full_path=six_hump_camel_app, app_name="six_hump_camel")
+
+    ensemble = Ensemble(parse_args=True,
+                        executor=exctr,
+                        alloc_specs=alloc_specs,
+                        exit_criteria=exit_criteria,
+                        # libE_specs = LibeSpecs(use_workflow_dir=True, platform_specs=platform_specs),  # works
+                        )
+
+    platform_specs = PerlmutterGPU()
+    ensemble.libE_specs = LibeSpecs(
+        num_resource_sets=ensemble.nworkers - 1,
+        resource_info={"gpus_on_node": 4},
+        use_workflow_dir=True,
+        platform_specs=platform_specs,
+    )
+
+    ensemble.gen_specs = {
+        "gen_f": gen_f,
+        "persis_in": ["f", "x", "sim_id"],
+        "out": [("priority", float), ("resource_sets", int), ("x", float, n)],
+        "user": {
+            "initial_batch_size": ensemble.nworkers - 1,
+            "max_resource_sets": ensemble.nworkers - 1,  # Any sim created can req. 1 worker up to all.
+            "lb": np.array([-3, -2]),
+            "ub": np.array([3, 2]),
+        },
+    }
+
+    ensemble.sim_specs = {
+        "sim_f": sim_f,
+        "in": ["x"],
+        "out": [("f", float)],
+        "user": {"dry_run": True},
+    }
+
+    ensemble.add_random_streams()
+    ensemble.run()
+
+    if ensemble.is_manager:
+        matching_dirs = glob.glob("workflow_*")
+        assert matching_dirs, "No workflow dir found"
+        most_recent_dir = max(matching_dirs, key=os.path.getctime)
+        print(f"Checking ensemble.log in {most_recent_dir}")
+        file_path = file_path = os.path.join(most_recent_dir, 'ensemble.log')
+        if os.path.exists(file_path):  # an assert
+            with open(file_path, 'r') as file:
+                content = file.read()
+                pattern = r"Runline:\s+srun"
+                assert re.findall(pattern, content), "Incorrect MPI runner"