Senior ML Infra Engineer, Research — Singapore

PhysicsX Ltd.; Singapore; Hybride; SGD 203 000 - 271 000; Plein temps

Avantages offerts par ce poste

Equity options

Private medical insurance

25 days Annual Leave

10% pension contribution

Free office lunches

Parental leave (enhanced)

Résumé du poste

PhysicsX is hiring a Senior ML Infrastructure Engineer, Research to design and operate the training, data I/O, and deployment pipelines that power our large physics models. You will work closely with ML researchers to ensure scalable, reliable infrastructure for model training and serving in a hybrid, office-plus-remote setup.

Role emphasizes deep expertise in distributed training, Kubernetes, and HPC-style data workflows, with opportunities to shape platform tooling and observability across the

Qualifications

• 5+ years building and operating ML infrastructure at scale.
• Experience with distributed training and NCCL optimizations.
• Strong systems fundamentals: Linux, networking, storage I/O, profiling.

Responsabilités

• Design and operate distributed training infrastructure for neural operator architectures on DGX platforms.
• Optimize training pipelines for throughput, fault tolerance, and cost efficiency.

Connaissances

Distributed training

Linux

Networking (NVLink/InfiniBand)

Kubernetes

SLURM

Python

PyTorch

Cloud GPU infra

Outils

NVIDIA DGX B200

Kubernetes

SLURM

Weights & Biases

MLflow

Description du poste

PhysicsX is hiring a Senior ML Infrastructure Engineer, Research to design and operate the training, data I/O, and deployment pipelines that power our large physics models. You will work closely with ML researchers to ensure scalable, reliable infrastructure for model training and serving in a hybrid, office-plus-remote setup.

Role emphasizes deep expertise in distributed training, Kubernetes, and HPC-style data workflows, with opportunities to shape platform tooling and observability across the