diff --git a/vllm/v1/engine/utils.py b/vllm/v1/engine/utils.py
index 28df7bbc718..cc8ce10e31e 100644
--- a/vllm/v1/engine/utils.py
+++ b/vllm/v1/engine/utils.py
@@ -155,15 +155,16 @@ class CoreEngineProcManager:
 
         try:
             for proc, local_dp_rank in zip(self.processes, local_dp_ranks):
-                # Adjust device control in DP for non-CUDA platforms
-                # as well as external and ray launchers
-                # For CUDA platforms, we use torch.accelerator.set_device_index()()
+                # Adjust device control in DP for platforms that cannot rely
+                # on torch.accelerator.set_device_index(), and for Ray launchers.
                 device_control_context: contextlib.AbstractContextManager[None] = (
                     contextlib.nullcontext()
                 )
+                needs_device_env_isolation = not (
+                    current_platform.is_cuda_alike() or current_platform.is_xpu()
+                )
                 if is_dp and (
-                    not current_platform.is_cuda_alike()
-                    or vllm_config.parallel_config.use_ray
+                    needs_device_env_isolation or vllm_config.parallel_config.use_ray
                 ):
                     device_control_context = set_device_control_env_var(
                         vllm_config, local_dp_rank
diff --git a/vllm/v1/worker/xpu_worker.py b/vllm/v1/worker/xpu_worker.py
index 102a04f5d88..0f01ee42a97 100644
--- a/vllm/v1/worker/xpu_worker.py
+++ b/vllm/v1/worker/xpu_worker.py
@@ -2,7 +2,6 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 import gc
 import os
-from typing import Any
 
 import torch
 
@@ -40,19 +39,35 @@ class XPUWorker(Worker):
         assert device_config.device_type == "xpu"
         assert current_platform.is_xpu()
 
-        # Torch profiler. Enabled and configured through profiler_config.
-        self.profiler: Any | None = None
-        profiler_config = vllm_config.profiler_config
-        if profiler_config.profiler == "torch":
-            worker_name = f"{vllm_config.instance_id}-rank-{self.rank}"
-            self.profiler = TorchProfilerWrapper(
-                profiler_config,
-                worker_name=worker_name,
-                local_rank=self.local_rank,
-                activities=["CPU", "XPU"],
+    def init_device(self):
+        # In DP mode, XPU workers see all visible devices.
+        # Offset local_rank by the local DP shard.
+        parallel_config = self.parallel_config
+        if (
+            parallel_config.distributed_executor_backend
+            not in ("ray", "external_launcher")
+            and parallel_config.data_parallel_backend != "ray"
+            and parallel_config.nnodes_within_dp == 1
+        ):
+            dp_local_rank = parallel_config.data_parallel_rank_local
+            if dp_local_rank is None:
+                dp_local_rank = parallel_config.data_parallel_index
+            tp_pp_world_size = (
+                parallel_config.pipeline_parallel_size
+                * parallel_config.tensor_parallel_size
+            )
+            self.local_rank += dp_local_rank * tp_pp_world_size
+
+            visible_device_count = torch.accelerator.device_count()
+            assert self.local_rank < visible_device_count, (
+                f"DP adjusted local rank {self.local_rank} is out of bounds. "
+            )
+            assert parallel_config.local_world_size <= visible_device_count, (
+                f"local_world_size ({parallel_config.local_world_size}) must "
+                f"be less than or equal to the number of visible devices "
+                f"({visible_device_count})."
             )
 
-    def init_device(self):
         device = self.device_config.device
         if (
             isinstance(device, torch.device)
@@ -117,3 +132,30 @@ class XPUWorker(Worker):
         if self.rank == 0:
             # If usage stat is enabled, collect relevant info.
             report_usage_stats(self.vllm_config)
+
+    def profile(self, is_start: bool = True, profile_prefix: str | None = None):
+        if self.profiler_config is None or self.profiler_config.profiler is None:
+            raise RuntimeError(
+                "Profiling is not enabled. Please set --profiler-config to enable "
+                "profiling. Example: "
+                "'--profiler-config.profiler=torch --profiler-config.torch_profiler_dir"
+                "=YOUR_DIR_PATH_TO_DUMP_TRACE'"
+            )
+
+        if is_start and self.profiler is None:
+            from vllm.distributed.utils import get_worker_rank_suffix
+
+            rank_suffix = get_worker_rank_suffix(global_rank=self.rank)
+            trace_name = (
+                f"{profile_prefix}_{rank_suffix}" if profile_prefix else rank_suffix
+            )
+
+            self.profiler = TorchProfilerWrapper(
+                self.profiler_config,
+                worker_name=trace_name,
+                local_rank=self.local_rank,
+                activities=["CPU", "XPU"],
+            )
+            logger.debug("Starting torch profiler with trace name: %s", trace_name)
+
+        super().profile(is_start=is_start, profile_prefix=profile_prefix)