Robotics AI Systems Engineer (Edge to Cloud)

GENERAL ROBOTICS TECHNOLOGY PTE. LTD.; Otago; On-site; NZD 96,000 - 151,000; Full time

Job summary

General Robotics Technology PTE. LTD. in Singapore is seeking a Systems Engineer to design, build, and optimize large-scale infrastructure for robotics workloads from edge devices to cloud GPU clusters.

You will develop low-latency pipelines for ML model training and inference, manage distributed systems, and optimize GPU workloads using PyTorch, TensorFlow, JAX, and CUDA. Collaboration with research teams is essential, with a focus on scalable, production-grade systems.

Qualifications

• Bachelor's degree in computer science, computer engineering, robotics or related field.
• 1+ years of experience in systems engineering, software engineering, robotics, or AI/ML systems.
• Strong systems programming skills in C++, Rust, Go, Python.
• Experience with ML frameworks (PyTorch, JAX, TensorFlow) and cloud infrastructure (Kubernetes, Docker).
• Experience with GPU programming and CUDA optimization for ML workloads.

Responsibilities

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

Skills

C++

Rust

Go

Python

Education

Bachelor's degree in CS/CE/Robotics

Master's degree preferred

Tools

Kubernetes

Docker

PyTorch

TensorFlow

JAX

Job description

General Robotics Technology PTE. LTD. in Singapore is seeking a Systems Engineer to design, build, and optimize large-scale infrastructure for robotics workloads from edge devices to cloud GPU clusters.

You will develop low-latency pipelines for ML model training and inference, manage distributed systems, and optimize GPU workloads using PyTorch, TensorFlow, JAX, and CUDA. Collaboration with research teams is essential, with a focus on scalable, production-grade systems.