Robotics Software Engineer, Robot Learning and Manipulation

Intrinsic; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading robotics company in Singapore is seeking a Robotics Software Engineer to specialize in Robot Learning and Manipulation. You will be responsible for designing and deploying advanced manipulation skills in industrial settings. The role requires a PhD or equivalent in relevant fields, experience in C++ and Python, and expertise in ML frameworks. Candidates should be willing to work collaboratively in a demanding lab environment, optimizing real-time manipulation models. This position fosters innovation and the advancement of industrial robotics.

Qualifications

• PhD or equivalent professional experience in Robot Learning and AI Manipulation.
• 2 years of professional experience in C++ and Python, with proven production-quality code.
• Deep expertise with JAX, TensorFlow, or PyTorch.

Responsibilities

• Drive design, training, validation, and deployment of manipulation skills.
• Develop and integrate control strategies and ML policies.
• Stress-test and optimize the real-time execution framework.

Skills

C++

Python

Machine Learning

Robot Learning

Communication

Education

PhD or equivalent experience in Robot Learning and AI Manipulation

Tools

JAX

TensorFlow

PyTorch

Job description

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 Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.

How your work moves the mission forward

• Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
• Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve the robustness of contact-rich assembly tasks.
• Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
• 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
• Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
• Communication: Business fluency in English.

Skills that will differentiate your candidacy

• Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision for contact-rich tasks.
• Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.

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].