Role Overview

As our Machine Intelligence Engineer, you will be responsible for developing the system’s “intelligence layer.” This includes multimodal scene perception, operational and control intelligence. You will be a part of team in charge of production-ready machines for F&B automation.

Key Responsibilities:

• Be a core contributor to product and technical discussions.
• Design and implement perception pipelines that enable real-time understanding of food and kitchen environments.
• Develop AI/ML models for operational intelligence, decision-making, and control strategies.
• Integrate perception and intelligence modules into our robotics and web software stack.
• Work closely with hardware, embedded, and software engineers to ensure robust end-to-end functionality.
• Drive experiments from prototype to production-quality deployment.
• Stay on top of state-of-the-art techniques in machine intelligence for robotics.

Desired Skills and Experiences:

• Expertise in training, fine-tuning, and deploying deep learning models for robotic grasp detection, object pose estimation, and motion planning.
• Experience with reinforcement learning (RL) and imitation learning (IL) for adaptive arm control in unstructured environments.
• Knowledge of foundation models for manipulation (e.g., RT-X, OpenVLA, GR1, or custom vision-language-action architectures).
• Strong understanding of 3D vision pipelines, including point cloud processing, RGB-D sensor fusion, and camera calibration.
• Experience developing object detection, segmentation, and keypoint estimation algorithms.
• Proficiency in integrating stereo cameras, Intel RealSense, or depth LiDAR systems for spatial reasoning and environment reconstruction.
• Proficient in Python and C++ for real-time control, inference pipelines, and perception integration.
• Strong grasp of software engineering best practices - version control (Git), CI/CD workflows, code modularity, and test-driven development.
• Experience deploying AI pipelines using Docker, ROS/ROS2 nodes, or NVIDIA JetPack environments.
• Proven ability to deploy models on embedded AI hardware such as NVIDIA Jetson AGX Orin, Xavier, or Coral TPU, ensuring real-time inference performance.
• Understanding of kinematics, dynamics, and control theory.
• Experience developing hybrid pipelines combining analytical planning and learned policies for robust manipulation.
• Ability to build multimodal representations for task-level decision-making and context-aware manipulation.
• Experience working in small, cross-disciplinary teams (mechanical, electrical, software, AI) to take full ownership of robotic system modules.
• Strong ability to translate high-level F&B use cases into technical manipulation tasks
• Prior experience in deploying and validating robot arms in real environments is highly desirable.

Please send us your resume/CV along with a short cover letter (a few paragraphs) addressing the following:

Why are you interested in this role and our company?

What excites you about working in robotics, and specifically in the food & beverage (F&B) robotics space?

How do you see your skills and experiences making an impact in this role?

Can you share an example of when you took ownership of a project and drove it from idea to impact?

Which areas are you less familiar with today, and how would you like to grow in them?

Email: [email protected]

Subject: AI Software Engineer Role