Robotics Software Engineer, Sensor-based Control and Robot Learning

INTRINSIC INNOVATION SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A tech-forward robotics company in Singapore is looking for a Robotics Software Engineer with experience in C++. This role involves developing advanced control strategies and Machine Learning policies, optimizing real-time execution for robots in manufacturing contexts. Candidates should have at least 3 years of relevant software development experience and a degree in Computer Science or Robotics. The position offers a chance to work in a collaborative environment focused on revolutionizing industrial robotics.

Qualifications

• 3 years of professional software development experience in C++, preferably in robotics.
• Experience testing and iterating on physical robotics hardware with vision systems.
• Strong motivation to collaborate with cross-functional teams.

Responsibilities

• Develop visual servoing and control loops for assembly tasks.
• Implement sensor fusion algorithms for robot control.
• Run trials on industrial hardware and collect training data.
• Analyze logs to identify failure modes.

Skills

C++

Robotics

Software development

Machine Learning

Sensor fusion

Education

Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field

Tools

Cloud databases

TensorFlow or PyTorch

JAX

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 in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.

How your work moves the mission forward

• Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.
• Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.
• Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.
• Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.
• Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.
• Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).
• 3 years of professional software development experience in C++, preferably within robotics or mechatronic systems.
• Proven experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.
• Strong motivation to work closely with partners and cross-functional teams in a fast-paced environment.
• Business fluency in English.

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science, or a related field.
• Deep technical knowledge of visual servoing and sensor-based robot control
• Signal processing expertise in time synchronization, state estimation, and data fusion.
• Experience running ML model inference on on-prem hardware within soft-realtime loops.
• Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.
• Proficiency in JAX, Python, TensorFlow or PyTorch.