Robotic Engineer (Raspberry Pi, Python/AI) – MVP Development $ Offline

About the Role

We are looking for a hands-on Robotic Engineer with strong expertise in Raspberry Pi, embedded systems, and hardware prototyping to build an MVP for a cloud-connected robotic system. The ideal candidate is comfortable working across electronics, sensors, actuators, and programming as well as has enough Python/AI knowledge to integrate the device with external cloud-based AI services (e.g., AWS, custom inference endpoints).

This role is ideal for an engineer who enjoys building physical systems quickly, iterating in a startup-like environment, and creating robust prototypes that can evolve into production-ready solutions.

Responsibilities

- Hardware & Robotics Development

- Design and assemble a functional MVP of a lightweight robotic device using Raspberry Pi, microcontrollers, sensors, actuators, and mechanical components.

- Select, integrate, and test appropriate hardware modules (cameras, motors, servos, power systems, communication modules, etc.).

- Build reliable control logic for movement, sensing, and feedback loops.

- Create wiring diagrams, hardware documentation, and basic mechanical designs.

Software Development

- Develop control scripts on Raspberry Pi using Python.

- Implement communication protocols.

- Integrate external AI capabilities such as vision models, speech interfaces, or decision engines.

Cloud & AI Integration (Good to Have)

- Connect robotic control logic to cloud AI services (AWS AI/ML services, custom inference endpoints).

- Enable remote operation, monitoring, logging, and updates for the robotic device.

Requirements

- Proven experience building robotics prototypes or hardware MVPs.

- Strong expertise with Raspberry Pi, embedded Linux, and peripheral integration.

- Solid understanding of electronics: wiring, power, sensors, actuators, controllers.

- Proficiency in Python (hardware interaction, automation scripts, API integration).

- Experience with real-time control systems and debugging hardware-software interactions.

- Ability to move quickly, test hypotheses, and deliver working prototypes under time constraints.

Good-to-Have Skills

- Familiarity with cloud platforms (preferably AWS) and IoT frameworks.

- Experience integrating AI/ML capabilities (vision, audio, LLMs, robotics frameworks).

- Basic mechanical engineering or CAD design (Fusion 360, SolidWorks, etc.).

- Knowledge of ROS (Robot Operating System) or similar middleware.

- Understanding of edge AI and optimization techniques.

Soft Skills

- Independent, proactive, and capable of taking ownership from concept to MVP.

- Comfortable working with ambiguity and iterating on prototypes.

- Strong communication skills for documenting and presenting progress.

What We Offer

- Opportunity to build a real robotic product from scratch.

- Collaborative environment with experts in cloud, AI, and software engineering.

- Flexible work arrangement and competitive compensation.

- Potential for long-term engagement on future iterations and scaling.