diff --git a/vllm/v1/worker/cpu_worker.py b/vllm/v1/worker/cpu_worker.py
index 5b57df2d472c8..2b54228e0a4ee 100644
--- a/vllm/v1/worker/cpu_worker.py
+++ b/vllm/v1/worker/cpu_worker.py
@@ -37,6 +37,28 @@ class CPUWorker(Worker):
 
         self.parallel_config.disable_custom_all_reduce = True
 
+        if envs.VLLM_TORCH_PROFILER_DIR:
+            torch_profiler_trace_dir = envs.VLLM_TORCH_PROFILER_DIR
+            worker_name = f"{vllm_config.instance_id}-rank-{self.rank}"
+            logger.info(
+                "Profiling enabled. Traces will be saved to: %s",
+                torch_profiler_trace_dir,
+            )
+            self.profiler = torch.profiler.profile(
+                activities=[
+                    torch.profiler.ProfilerActivity.CPU,
+                ],
+                record_shapes=envs.VLLM_TORCH_PROFILER_RECORD_SHAPES,
+                profile_memory=envs.VLLM_TORCH_PROFILER_WITH_PROFILE_MEMORY,
+                with_stack=envs.VLLM_TORCH_PROFILER_WITH_STACK,
+                with_flops=envs.VLLM_TORCH_PROFILER_WITH_FLOPS,
+                on_trace_ready=torch.profiler.tensorboard_trace_handler(
+                    torch_profiler_trace_dir, worker_name=worker_name, use_gzip=False
+                ),
+            )
+        else:
+            self.profiler = None
+
     def init_device(self):
         # Setup OpenMP threads affinity.
         omp_cpuids = envs.VLLM_CPU_OMP_THREADS_BIND
@@ -166,3 +188,17 @@ class CPUWorker(Worker):
             [(x.id, x.physical_core) for x in logical_cpu_list],
         )
         return ",".join([str(x.id) for x in logical_cpu_list])
+
+    def profile(self, is_start: bool = True):
+        if self.profiler is None:
+            raise RuntimeError("Profiler is not enabled.")
+        if is_start:
+            self.profiler.start()
+        else:
+            self.profiler.stop()
+            if self.local_rank == 0:
+                logger.info(
+                    self.profiler.key_averages().table(
+                        sort_by="self_cpu_time_total", row_limit=50
+                    )
+                )