diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3643655d55ec4..278a4363de9e8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -29,6 +29,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed `toggle_optimizer` to reset `requieres_grad` state  ([#5574](https://github.com/PyTorchLightning/pytorch-lightning/pull/5574))
 
 
+- Fixed FileNotFoundError for best checkpoint when using DDP with Hydra ([#5629](https://github.com/PyTorchLightning/pytorch-lightning/pull/5629))
+
+
 - Fixed an error when logging a progress bar metric with a reserved name ([#5620](https://github.com/PyTorchLightning/pytorch-lightning/pull/5620))
 
 
diff --git a/pytorch_lightning/accelerators/ddp_accelerator.py b/pytorch_lightning/accelerators/ddp_accelerator.py
index 24b7c295eb0df..84830ae3e88e6 100644
--- a/pytorch_lightning/accelerators/ddp_accelerator.py
+++ b/pytorch_lightning/accelerators/ddp_accelerator.py
@@ -134,11 +134,16 @@ def _call_children_scripts(self):
                 del env_copy['PL_GLOBAL_SEED']
 
             # start process
-            # if hydra is available and initialized, make sure to set the cwd correctly
+            # if hydra is available and initialized, make sure to set the original cwd correctly
+            # and pass current cwd for ddp processes (which hydra has overridden)
             cwd: Optional[str] = None
             if HYDRA_AVAILABLE:
                 if HydraConfig.initialized():
                     cwd = get_original_cwd()
+                    command += [
+                        f'hydra.run.dir={os.getcwd()}',
+                        f'hydra.job.name=train_ddp_process_{local_rank}'
+                    ]
             proc = subprocess.Popen(command, env=env_copy, cwd=cwd)
             self.interactive_ddp_procs.append(proc)