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Senior Robotics Software Engineer

Dyson Inc
🇸🇬 Singapore
On-site
Senior
2 months ago
  • AI/ML
  • LiDAR
  • AI
  • Machine Learning
  • C++
  • Python
  • PyTorch
  • TensorFlow
  • ONNX
  • TensorRT
  • System Design
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About Us

Dyson is a global technology company that sets out to solve the problems others ignore. We create machines that are different, better and more useful through inventive engineering, relentless testing and a refusal to accept conventional answers.

About the Role

Senior Robotics Software Engineers demonstrate advanced design and problem-solving expertise, leading the development of complex robotics systems and intelligent features. They play a key role in ensuring robustness, scalability, and manufacturability while mentoring junior engineers.

Key Responsibilities

  • Lead design and development ofcomplex robotics behaviours and intelligent features

  • Own end-to-end delivery of critical modules or subsystems

  • Develop and optimizeML-driven capabilities such as:

    • Perception (object detection, mapping)

    • Adaptive/autonomous behaviours

  • Tackle complex system-level challenges (e.g., latency, reliability, sensor fusion)

  • Ensure production-quality code and system robustness

  • Provide mentorship and technical guidance to engineers

  • Collaborate cross-functionally to align software with product and hardware constraints

  • Escalate risks and drive resolution proactively

AI/ML Responsibilities

  • Design and developend-to-end AI/ML systems for robotics applications, from model selection to deployment

  • Ownperception and intelligence modules, including:

    • Vision-based navigation and mapping

    • Sensor fusion (LiDAR, camera, IMU)

    • Context-aware and adaptive cleaning behaviours (vacuum robotics focus)

  • Optimize and deployreal-time inference on edge devices, including:

    • Model compression, quantization, and acceleration

    • Performance tuning under embedded constraints

  • Leaddata-driven development cycles:

    • Define data requirements and collection strategies

    • Analyze telemetry from deployed robots to improve model performance

  • Solve complex AI-related challenges:

    • Model robustness in diverse home environments

    • Failure detection and recovery strategies

  • Guide others in:

    • ML model integration best practices

    • Experimentation frameworks (A/B testing, offline vs real-world validation)

  • Drive adoption ofGenAI-assisted workflows:

    • Code generation for ML pipelines

    • Automated test generation and debugging

    • Documentation and knowledge sharing

About You

  • 5+ years in robotics, embedded systems, or related domains (progression from mid-level)

  • Advanced proficiency inC++ and Python for building scalable robotics and AI systems

  • Strong hands-on experience developing and deployingML models in production robotics environments

  • Deep expertise inrobotics perception and intelligence systems:

    • Object detection, segmentation, tracking

    • Sensor fusion (camera, LiDAR, IMU)

    • Navigation (SLAM, localization, motion planning)

  • Experience withML frameworks and deployment tools:

    • PyTorch / TensorFlow (training + inference)

    • ONNX, TensorRT, or equivalent optimization frameworks

  • Proven ability to deploy and optimizeedge AI systems:

    • Model quantization, pruning, and performance tuning

    • Real-time inference under embedded constraints

  • Strong experience indata-driven development:

    • Dataset definition, labeling strategies, evaluation metrics

    • Using real-world telemetry for continuous model improvement

  • Solid domain knowledge invacuum robotics / consumer robotics, including:

    • Coverage optimization and navigation efficiency

    • Dirt detection and adaptive cleaning behaviours

    • Failure handling and recovery strategies

  • Demonstrated ability to solvecomplex AI/system-level problems independently

  • Experience mentoring engineers on:

    • ML integration and system design best practices

    • Experimentation methodologies (A/B testing, simulation vs real-world validation)

  • High proficiency withGenAI-assisted development workflows:

    • Accelerating ML pipeline development

    • Automating testing, debugging, and documentation

  • Strong architectural and design skills

  • Strong communication and stakeholder management skills


Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Senior Robotics Software Engineer · Dyson Inc

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