Introduction:

At Kiwibot we are building the most reliable, friendly, and efficient robot platform that allows every person or business to offer and receive an affordable and safe delivery service. We are the leading robotic platform with traction of more than 150,000 successful deliveries in multiple locations in the USA. We are on our way to be a moonshot and to get there, we need to build an amazing team.

Overview:

A Robotics Integration Engineer is responsible for designing, implementing, and optimizing the integration of robotic systems into various operational environments. This role involves collaborating with multidisciplinary teams to develop and configure hardware and software solutions, ensuring seamless communication between robotic devices, sensors, and other equipment. The engineer analyzes system requirements, troubleshoots technical issues, and tests the functionality of robotic systems to enhance performance and reliability. Additionally, they provide technical documentation, training, and ongoing support to stakeholders while staying updated on advancements in robotics and automation technologies to drive innovation and improve efficiency in the integration process.

A Robotics Integration Engineer requires a range of hard skills to succeed in the role, including:

1. Programming Proficiency: Strong skills in languages like Python, C++, ROS (Robot Operating System), and scripting languages for automation.

2. Control Systems: Knowledge of control theory, motion planning, and kinematics for robotics systems.

3. Electrical and Mechanical Engineering: Familiarity with sensors, actuators, motors, and other robotic components, including their design and integration.

4. System Integration: Experience in integrating hardware with software, including PLCs (Programmable Logic Controllers), microcontrollers, and real-time operating systems.

5. Networking and Communication Protocols: Knowledge of industrial communication protocols (e.g., Ethernet/IP, Modbus, CAN, RS232) and wireless communication.

6. Machine Vision and AI: Familiarity with machine vision systems, AI models for perception, and tools like OpenCV or TensorFlow.

7. Testing and Troubleshooting: Skills in diagnostic tools, system testing, debugging, and optimization.

8. Data Analysis: Competence in analyzing system performance using tools like Excel, Tableau, or Python libraries (e.g., Pandas, NumPy).

9. [Nice-to-have] CAD and Simulation Tools: Proficiency in CAD software (e.g., SolidWorks, AutoCAD) and simulation tools (e.g., Gazebo, MATLAB, or Simulink).

Self-Management Skills:

1. Time Management: Effectively prioritize tasks and manage deadlines in complex projects.

2. Problem-Solving: Analyze issues systematically and develop innovative solutions.

3. Adaptability: Stay flexible and open to new ideas or changes in technology and processes.

4. Self-Motivation: Maintain enthusiasm and drive to complete challenging tasks independently.

5. Critical Thinking: Evaluate options logically and make informed decisions.

6. Attention to Detail: Focus on precision to ensure seamless system integration and troubleshooting.

7. Continuous Learning: Stay updated on robotics advancements and enhance technical knowledge.

People Management Skills:

1. Communication: Clearly convey technical concepts to non-technical stakeholders and team members.

2. Collaboration: Work effectively within multidisciplinary teams, fostering a cooperative environment.

3. Leadership: Guide and motivate team members, providing direction and support when needed.

4. Conflict Resolution: Address disagreements constructively to maintain team harmony.

5. Empathy: Understand and consider the perspectives and needs of team members and stakeholders.

6. Delegation: Assign tasks effectively, leveraging individual strengths to achieve project goals.

7. Coaching and Mentoring: Support the growth and development of junior team members or colleagues.

8. Feedback Management: Provide and accept constructive feedback to improve performance and outcomes.

9. Stakeholder Management: Build and maintain relationships with clients, vendors, and other partners.

10. Decision-Making: Make informed and timely decisions, balancing technical requirements with team dynamics.

What we offer you:

As your career progresses, we commit to develop and advance your career. We aim to put together personalized training for every employee through a blend of training that includes:

• Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership in robotic last-mile delivery.

• Targeted in-house training and on-the-job training and experience.

• Being part of one of the top Tech Start-Ups in Latin America that is operating in the US market.

• A place to learn and grow, and have fun.

Perks:

1. Kiwibot will cover tickets, accommodation, food assistance & travel insurance if needed.

2. Net income salary.

3. English Lessons.

4. Referral Program.

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[RESERVED FOR KIWIBOT] - [RESERVED FOR KIWIBOT] - [RESERVED FOR KIWIBOT]

Slection Process: [RERERVED FOR KIWIBOT]

• Cultural adn fit interview by. Natalia Valderrama Sming Liao

• Technical Test Interview John Betancourt

• Project for Home AI Robotics

• Project presentation AI Robotics

• Final decision.

Department

AUTO

Locations

Shenzhen

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