Senior Software Engineer, ML Infrastructure

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Motional Singapore Pte. Limited is seeking a Senior Software Engineer to design and build scalable ML infrastructure platforms on Kubernetes.

You will own components from design through production, tackling high-throughput data pipelines and petabyte-scale workloads. You will collaborate with ML engineers to enable faster experiments, write clean, robust code in Python or Go, and deploy on AWS, GCP, or Azure.

Qualifications

• 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.

Responsibilities

• 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.

Skills

4+ years of software engineering

Ownership mindset

High-quality software

Education

BS/MS in Computer Science or related

Tools

Kubernetes

Python

Go

AWS

GCP

Azure

Job description

Mission Sumary:

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 do:

• 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.