Robotics AI Systems Engineer — Edge to Cloud

GENERAL ROBOTICS TECHNOLOGY PTE. LTD.; Singapore; Vor Ort; SGD 60.000 - 90.000; Vollzeit

Zusammenfassung

General Robotics is seeking a Systems Engineer in Singapore to design and optimize infrastructure for robotics AI workloads, spanning edge devices to cloud GPU clusters. You’ll work on low-latency pipelines for ML training and inference, and manage distributed systems across heterogeneous compute environments.

The role emphasizes CUDA/GPU optimization, containerized deployments with Kubernetes and Docker, and collaboration with research teams to turn model requirements into scalable production

Qualifikationen

• Bachelor's degree in CS/CE/Robotics or equivalent practical experience; Master’s preferred.
• 1+ years in systems engineering, software engineering, robotics, or AI/ML systems.
• Strong systems programming in C++, Rust, Go, or Python.
• Solid OS, networking, and distributed systems fundamentals.
• Experience with ML frameworks (PyTorch, JAX, TensorFlow) and cloud infra (Kubernetes, Docker).
• Experience with GPU programming and CUDA optimization for ML workloads.
• Experience designing and scaling distributed training infrastructure for large foundation models.
• Familiarity with AWS, GCP, Azure and IaC tooling.
• Familiarity with real-time/edge deployment for robotics.
• Work authorization for Singapore required.

Aufgaben

• Design, build, and optimize systems infrastructure from edge to cloud for robotics workloads.
• Develop low-latency, high-throughput pipelines for ML model training and inference.
• Architect and manage distributed systems for efficient resource use across heterogeneous environments.
• Optimize GPU/CUDA workloads and accelerate ML frameworks for robotics applications.
• Build and maintain containerized deployment pipelines with Kubernetes and Docker.
• Collaborate with research teams to translate model requirements into scalable production systems.
• Design monitoring, profiling, and benchmarking tools to identify performance bottlenecks.
• Contribute to infrastructure tooling and open-source efforts.

Kenntnisse

C++

Rust

Go

Python

Distributed systems

CUDA programming

GPU optimization

Ausbildung

Bachelor's degree in CS/CE/Robotics

Master's degree preferred

Tools

Kubernetes

Docker

AWS

GCP

TensorFlow

PyTorch

JAX

CUDA

Slurm

Ray

Jobbeschreibung

General Robotics is seeking a Systems Engineer in Singapore to design and optimize infrastructure for robotics AI workloads, spanning edge devices to cloud GPU clusters. You’ll work on low-latency pipelines for ML training and inference, and manage distributed systems across heterogeneous compute environments.

The role emphasizes CUDA/GPU optimization, containerized deployments with Kubernetes and Docker, and collaboration with research teams to turn model requirements into scalable production