Robotics Engineer - Singapore: AI Specialist

Generalrobotics
Singapore
On-site

Who this role is best for

Aimed at mid-level robotics engineers who push state-of-the-art in AI and simulation-based development, requiring Singapore work authorization and expertise in both research and practical systems integration.

Best fit for

  • Mid-level engineers with research experience in computer vision and ML for robotics applications
    — “Research experience in machine learning, robotics, and computer vision
  • Candidates who have scaled robotics algorithms or ML models in production environments
    — “Experience with developing robotics algorithms or machine learning models at scale
  • Individuals with first-author conference publications in AI/robotics domains
    — “First author publications at peer-reviewed AI and robotics conferences

Things to consider

  • Must already have valid work authorization in Singapore
    — “Current and ongoing work authorization in the country of employment
  • Salary range spans multiple seniority levels depending on experience
    — “Base Salary Range: 82000 SGD - 220000 SGD

How to stand out

  • Highlight adaptation of VLA models to real-world navigation challenges
    — “Develop and adapt advanced AI models... navigation
  • Demonstrate sensor fusion expertise with 3D vision systems
    — “Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection
  • Quantify contributions to large-scale foundation model training pipelines
    — “Design data loading and training pipelines for large scale foundation model training
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · IndividualLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design methods, tools, and infrastructure for robotics and AI
  • develop and adapt advanced AI models
  • define research goals
  • adapt standard machine learning models
  • work with high fidelity simulation platforms
Typical background
undergraduate or Master’s degree in Robotics, Computer Science, or related fieldresearch experience in machine learning, robotics, and computer vision

Skills & requirements

Required

RoboticsMachine LearningComputer VisionMultimodal Machine LearningLlms/vlms/vlasDiffusion/flow MatchingReinforcement LearningProgramming In Python/c++Deep Learning Frameworks

Preferred

High Fidelity Simulation PlatformsEfficient Robotics PipelinesModern Computer Vision AlgorithmsSystems Considerations

Stack & domain

Multimodal Machine LearningComputer VisionLlms/vlms/vlasDiffusion/flow MatchingReinforcement LearningImitation LearningEfficient Training And InferencePythonC++PyTorchJaxResearch ExperienceFirst Author PublicationsHigh Fidelity Simulation PlatformsEfficient Robotics PipelinesSensor FusionModel InferenceModern Computer Vision AlgorithmsSystems ConsiderationsRoboticsAIAutonomous SystemsRobot Skills

About the role

Original posting from Generalrobotics via Ashby

ABOUT GENERAL ROBOTICS

General Robotics is building the future of general robot intelligence. Our mission is to enable the rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. Our core platform, GRID, provides a comprehensive library of robot skills through a fast, cloud-native runtime designed to make any robot intelligent—including aerial, wheeled, humanoid, quadruped, and robotic arms.

We are looking for strong candidates who have a background in robotics and machine learning, with experience in areas like multimodal machine learning; computer vision; LLMs/VLMs/VLAs; diffusion/flow matching; reinforcement learning and imitation learning for robotics; efficient training and inference.

RESPONSIBILITIES

  • Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
  • Develop and adapt advanced AI models, such as Vision-Language-Action (VLA) models, to robotics applications (e.g., computer vision, SLAM, navigation).
  • Define research goals informed by practical engineering concerns.
  • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
  • Work with high fidelity simulation platforms for synthetic data generation.
  • Design data loading and training pipelines for large scale foundation model training.
  • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
  • Contribute to publications and open-sourcing efforts.

MINIMUM REQUIREMENTS

  • Undergraduate or Master’s degree (completed or in progress) in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
  • Current and ongoing work authorization in the country of employment.
  • Research experience in machine learning, robotics, and computer vision.
  • Experience with developing robotics algorithms or machine learning models at scale.
  • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.

PREFERRED QUALIFICATIONS

  • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Direct experience in robotics, computer vision, or machine learning research.
  • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).
  • Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others.
  • Experience building efficient robotics pipelines involving sensor fusion and model inference
  • Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
  • Good understanding of systems considerations and the ability to factor these into model choices.

Base Salary Range

The typical base pay range for this role is 82000 SGD - 220000 SGD. Your actual pay will be based on factors such as skills and experience.

Equal Opportunity Employer

General Robotics is an equal opportunity employer. We do not discriminate on the

basis of any status protected by applicable law.

Accommodations

If you need a reasonable accommodation during the application or interview

process, please contact: HR@GeneralRobotics.company

Source: Generalrobotics careers (Ashby)

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