Senior Software Engineer, ML Infrastructure

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking a Senior Engineer to build and deploy core components of their machine learning infrastructure platform. You will play a critical role in developing scalable services that support the entire ML lifecycle, from data ingestion to model training. The ideal candidate has over 4 years of software engineering experience and proficiency in Kubernetes, Python, and cloud platforms. This is a full-time role focused on innovation in self-driving technology.

Qualifications

• 4+ years of professional software engineering experience.
• Experience building or working on high-scale infrastructure or distributed backend systems.
• Strong sense of ownership and a passion for building high-quality software.

Responsibilities

• Design, build, and deploy core components of ML infrastructure platform on Kubernetes.
• Develop robust services supporting the entire ML lifecycle.
• Write high-quality, maintainable code for high-throughput systems.
• Own features and systems end-to-end, from design to production.

Skills

Kubernetes (k8s)

Python

Go

Cloud platforms (AWS, GCP, Azure)

Education

BS or MS in Computer Science or related field

Job description

Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology. We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models. This is a software engineering role focused on building robust platforms, not an SRE position.

As a Senior Engineer, you will be a key contributor to the team, owning the design and implementation of critical services that directly impact the pace of AV innovation.

What you’ll be doing:

• Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
• Develop robust and scalable services that support the entire ML lifecycle, from data ingestion and processing to model training and evaluation.
• Write high-quality, maintainable code for high-throughput systems that handle petabytes of data.
• Own features and systems end-to-end, driving them from initial design through to production deployment and operation.

What we’re looking for:

• 4+ years of professional software engineering experience.
• BS or MS in Computer Science or a related technical field.
• Hands‑on experience developing and deploying applications on Kubernetes (k8s) is a must.
• Experience building or working on high‑scale infrastructure or distributed backend systems.
• Strong proficiency in Python, Go, or a similar language.
• Solid experience with a major cloud provider (AWS, GCP, Azure).
• A strong sense of ownership and a passion for building high‑quality software.