Senior Robotics Software Engineer

Summary

Salary: Competitive Job Family: Product Software Engineering Location: Singapore - St James Power Station Headquarters

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 of complex robotics behaviours and intelligent features

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

• Develop and optimize ML-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 develop end-to-end AI/ML systems for robotics applications, from model selection to deployment

• Own perception 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 deploy real-time inference on edge devices, including:

  • Model compression, quantization, and acceleration
  • Performance tuning under embedded constraints

• Lead data-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 of GenAI-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 in C++ and Python for building scalable robotics and AI systems

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

• Deep expertise in robotics perception and intelligence systems:

  • Object detection, segmentation, tracking
  • Sensor fusion (camera, LiDAR, IMU)
  • Navigation (SLAM, localization, motion planning)

• Experience with ML frameworks and deployment tools:

  • PyTorch / TensorFlow (training + inference)
  • ONNX, TensorRT, or equivalent optimization frameworks

• Proven ability to deploy and optimize edge AI systems:

  • Model quantization, pruning, and performance tuning
  • Real-time inference under embedded constraints

• Strong experience in data-driven development:

  • Dataset definition, labeling strategies, evaluation metrics
  • Using real-world telemetry for continuous model improvement

• Solid domain knowledge in vacuum robotics / consumer robotics, including:

  • Coverage optimization and navigation efficiency
  • Dirt detection and adaptive cleaning behaviours
  • Failure handling and recovery strategies

• Demonstrated ability to solve complex 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 with GenAI-ass