Staff Engineer Tech Lead Manager, ML Acceleration

Motional; Singapore; On-site; SGD 220,000 - 300,000; Full time

Job summary

Motional is a driverless technology company at the forefront of autonomous vehicle services. We are seeking a Staff Level Tech Lead Manager to build and lead an ML Acceleration team, accelerating ML model training and enabling rapid hot-patching for deployed services.

You will recruit, mentor, and grow a team of ML and infra engineers, blending deep ML systems expertise with strong leadership. Expect a fast-paced, impact-driven environment with cross-functional collaboration.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 8+ years in software engineering with 5+ years in ML systems and model performance optimization.
• 3+ years in technical lead or management role with proven leadership of teams.
• Extensive experience with large-scale ML model training and deployment in production.
• Strong understanding of distributed systems and cloud computing platforms (AWS, GCP, Azure).

Responsibilities

• Build, lead, and manage a high-performing ML acceleration team.
• Define technical vision and strategy for ML acceleration.
• Collaborate with ML research, training platforms and product teams.
• Measure and report impact of acceleration efforts; pursue further optimization.

Skills

ML systems

Model perf optimization

Python

C++

Distributed systems

MLOps

Cloud platforms

Education

Bachelor's degree in CS or related

Tools

PyTorch

JAX

AWS

GCP

Azure

Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

Mission Summary:

We are seeking an experienced and visionary Staff Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
  • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
  • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Foster a collaborative and inclusive team environment.
  • Define team goals, priorities, and roadmap in alignment with company objectives.
• Technical Strategy & Execution:
  • Define the technical vision and strategy for ML acceleration across the organization.
  • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
  • Design, develop, and implement scalable and efficient ML acceleration solutions.
• Cross-functional Collaboration:
  • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
  • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
  • Act as a technical expert and advocate for ML acceleration initiatives across the company.
• Impact & Measurement:
  • Regularly measure and report on the impact of acceleration efforts.
  • Continuously seek opportunities for further optimization and innovation.

What we're looking for:

• Experience:
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
  • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
  • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
  • Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
  • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
• Technical Skills:
  • Deep expertise in ML frameworks such as PyTorch or JAX.
  • Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
  • Strong programming skills in Python; C++ experience is a plus.
  • Knowledge of MLOps principles and practices.
• Leadership Skills:
  • Exceptional leadership, communication, and interpersonal skills.
  • Ability to attract, hire, and retain top engineering talent.
  • Proven ability to drive complex technical projects from conception to completion.
  • Strong problem-solving skills and a proactive, results-oriented mindset.
  • Ability to thrive in a fast-paced, dynamic environment.

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.

Higher purpose, greater impact.

Scale up, not starting up.

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.