Technical Lead Manager, Data Engine and Robotic Foundation Models

Borr Drilling; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading technology company is seeking a Tech Lead Manager to enhance their robotic systems with AI and develop scalable infrastructures for large-scale models. You will lead a passionate team, guide the design of innovative solutions, and work in a collaborative environment. The ideal candidate will have a strong background in software engineering and machine learning, and a commitment to driving technological advancements in robotics.

Qualifications

• At least 4 years of software project experience.
• Demonstrable experience with Reinforcement / Imitation Learning.
• Ability to lead and work effectively in a team.

Responsibilities

• Lead the design and implementation of training infrastructures.
• Oversee data pipeline maintenance for feeding robot data into ML workflows.
• Empower teams with tools for AI techniques in robotics.

Skills

Experience collaborating on software projects

Proficient in Python / C++

Experience with machine learning

Experience with cloud computing and containerization

Proven leadership ability

Education

Four-year degree in Computer Science

PhD in Computer Science / Engineering (optional)

Tools

Tensorflow

Google Cloud

Docker

Kubernetes

SQL

Job description

Company

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

As a Tech Lead Manager (TLM) focused on Data Engine and Robotic Foundation Models, you will build and lead a team responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable data pipelines and ML infrastructure required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure for training and deploying large-scale robotic foundation models.
• Oversee the building and maintenance of data pipelines for collecting, processing, and feeding real-world robot data into machine learning workflows.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• Four-year degree in Computer Science
• Experience collaborating on medium to large software projects for at least 4 years
• Experience in programming Python / C++
• Demonstrable experience with offline Reinforcement / Imitation Learning in a robotics context
• Experience with machine learning (Tensorflow, JAX), cloud computing and containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks
• Proven ability to lead and work with a team, setting directions and driving towards solutions

Skills that will differentiate your candidacy

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics
• Academic track record of publications in the field of offline Reinforcement / Imitation Learning in Robotics
• Experience with Robotic Foundation Models / Vision-Language-Action Models
• Experience with Online Reinforcement Learning and / or Computer Vision for Robotics
• Experience with deploying ML services at scale

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: [e-mail].