Senior Software Engineer, ML Infrastructure

2 weeks ago


Singapore MOTIONAL SINGAPORE PTE. LIMITED Full time
Roles & Responsibilities

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.
Tell employers what skills you have
Machine Learning
MASSIVE
Kubernetes
Azure
Active Directory
VMware
Software Engineering
Scripting
Windows Server
Python
Windows
AV
GCP
Simulations
ITIL
Linux

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