diff --git a/var/ramble/repos/builtin/modifiers/tuned-adm/modifier.py b/var/ramble/repos/builtin/modifiers/tuned-adm/modifier.py
new file mode 100644
index 000000000..f510dc18d
--- /dev/null
+++ b/var/ramble/repos/builtin/modifiers/tuned-adm/modifier.py
@@ -0,0 +1,88 @@
+# Copyright 2022-2024 The Ramble Authors
+#
+# Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
+# https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
+# <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your
+# option. This file may not be copied, modified, or distributed
+# except according to those terms.
+
+import os
+
+from ramble.modkit import *
+
+
+SUCCESS_STRING = "Status: SUCCESS"
+
+
+class TunedAdm(BasicModifier):
+    """Define a modifier for TunedAdm
+
+    This modifier is used to select a specific tuned profile.
+    It also records the selected profile as a FOM.
+    """
+
+    name = "tuned-adm"
+
+    tags("system-info", "sysinfo", "platform-info")
+
+    maintainers("douglasjacobsen")
+
+    mode("standard", description="Standard execution mode for tuned-adm")
+
+    software_spec("pdsh", pkg_spec="pdsh", package_manager="spack*")
+
+    required_variable("hostlist")
+
+    modifier_variable(
+        "tuned-profile",
+        default="google-hpc-compute-throughput",
+        description="tuned profile to use",
+        mode="standard",
+    )
+
+    register_builtin("set_tuning_profile")
+
+    def set_tuning_profile(self):
+        return [
+            "pdsh -w {hostlist} sudo tuned-adm profile {tuned-profile}",
+            "pdsh -w {hostlist} sudo tuned-adm active > {experiment_run_dir}/tuning_profile",
+        ]
+
+    def _prepare_analysis(self, workspace):
+        run_dir = self.expander.expand_var("{experiment_run_dir}")
+        read_profile_path = os.path.join(run_dir, "tuning_profile")
+
+        if not os.path.exists(read_profile_path):
+            return
+
+        profiles = set()
+        with open(read_profile_path) as f:
+
+            for line in f.readlines():
+                if "active profile:" in line:
+                    profiles.add(line.split(":")[-1].strip())
+            profiles_str = ",".join(profiles)
+
+        if profiles:
+            expected_profile = self.expander.expand_var("{tuned-profile}")
+            write_profile_path = os.path.join(run_dir, "all_tuning_profiles")
+            with open(write_profile_path, "w+") as f:
+                profiles_str = ",".join(profiles)
+                f.write(f"Applied profiles: {profiles_str}\n")
+                if len(profiles) == 1 and profiles_str == expected_profile:
+                    f.write(SUCCESS_STRING)
+
+    figure_of_merit(
+        "Tuning Profile",
+        fom_regex=r"Applied profiles:\s*(?P<profile>.*)",
+        log_file="{experiment_run_dir}/all_tuning_profiles",
+        group_name="profile",
+        units="",
+    )
+
+    success_criteria(
+        "Expected tuning profile applied",
+        mode="string",
+        match=SUCCESS_STRING,
+        file="{experiment_run_dir}/all_tuning_profiles",
+    )