Role at a glance
- Salary
- Not Disclosed
- Location
- Singapore - Singapore - Central
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of professional experience in software engineering
- Education
- BS or MS in Computer Science or related field
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Role Summary
The Senior Software Engineer will join Motional’s ML Infrastructure: Dev Enablement Team, which builds a high-scale Cloud Development Environment platform for machine learning development in autonomous driving. The role focuses on improving the availability, performance, resilience, and productivity of the ML training ecosystem through multi-cloud infrastructure, system-level optimization, and Agentic AI tooling.
What You'll Do
- Explore, design, and implement multi-cloud architectures for the ML training platform to increase the availability, scalability, and...
- Profile and optimize distributed PyTorch/DDP training jobs, addressing data loading, memory management, and network communication...
- Design, develop, and enhance Agentic AI tools and systems to automate workflows and streamline the ML lifecycle.
- Develop the core ML infrastructure and CDE platform using Kubernetes to build high-scale distributed solutions.
- Partner with ML engineers and data scientists to connect infrastructure capabilities with model development needs.
- Champion software engineering, system reliability, and code quality practices while mentoring junior engineers through system design and...
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View full postingQualifications
5+ years of professional experience in software engineering with strong foundations in distributed systems; expertise with Python or Go or C++; experience with AWS services or other Cloud platforms, Kubernetes, and the ML development lifecycle; strong written and oral communication skills; track record of owning infrastructure components and mentoring junior engineers.
Required
- BS or MS in Computer Science or related field
- 5+ years of professional experience in software engineering with strong foundations in distributed systems
- Expertise with Python or Go or C++
- Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes
- Experience with the various stages of the ML development lifecycle
- Strong written and oral communication skills
- Track record of successfully taking ownership of infrastructure components and mentoring junior engineers
Preferred
- Hands-on experience with ML model profiling and performance optimization for distributed training
- Experience managing or working with high-performance compute resources (GPUs)
- Experience with ML frameworks such as PyTorch or Ray
- Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools
Original job description
Content provided by the employer
Original job description
Content provided by the employer
About the Role
We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.
We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.
What You’ll Be Doing
- Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
- System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
- Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
- Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
- Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
- Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.
What We’re Looking For
- BS or MS in Computer Science or related field
- 5+ years of professional experience in software engineering with strong foundations in distributed systems.
- Expertise with Python or Go or C++
- Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
- Experience with the various stages of the ML development lifecycle
- Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.
Bonus Points
- Hands-on experience with ML model profiling and performance optimization for distributed training.
- Experience managing or working with high-performance compute resources (GPUs).
- Experience with ML frameworks such as PyTorch or Ray.
- Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.
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.
About the company
Motional
Mid-size Company
Motional is a leading autonomous vehicle technology company focused on creating safe and reliable self-driving solutions. Founded as a joint venture between automotive giant Hyundai Motor Group and innovative technology firm Aptiv, Motional leverages cutting-edge artificial intelligence and advanced sensor technology to enhance driving systems. Headquartered in Boston, the company is committed to developing autonomous mobility that integrates seamlessly into urban environments and improves transportation access for everyone. Through ongoing partnerships and rigorous testing, Motional aims to set the standard for autonomous vehicle safety and performance.
Motional is a leading autonomous vehicle technology company focused on creating safe and reliable self-driving solutions. Founded as a joint venture between automotive giant Hyundai Motor Group and innovative technology firm Aptiv, Motional leverages cutting-edge artificial intelligence and advanced sensor technology to enhance driving systems. Headquartered in Boston, the company is committed to developing autonomous mobility that integrates seamlessly into urban environments and improves transportation access for everyone. Through ongoing partnerships and rigorous testing, Motional aims to set the standard for autonomous vehicle safety and performance.