Senior Software Engineer, ML Infrastructure
Motional · Singapore, Central, Singapore ·
- Seniority
- Senior
- Category
- Software engineering
- Experience
- 4+ years
Build and maintain large-scale ML infrastructure on Kubernetes to process petabytes of AV data, run simulations, and train self-driving models using Python/Go and cloud platforms.
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.
Bonus Points:
- Production experience with Ray, specifically leveraging Ray Data and Ray Train.
- Experience with GPU management or orchestration infrastructure, such as warm pools, smart scheduling, or specialized GPU frameworks.
#LI-AW1
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.