Control Systems Engineer (+ Equity) at KAIKAKU.AI

Jack & Jill/External ATS; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A VC-backed startup in London is seeking a Control Systems Engineer to design and develop advanced control systems for robotic applications. The ideal candidate will have extensive experience with real-world dynamical systems and a track record of deploying control systems to hardware. This role offers significant autonomy and the opportunity to work on innovative technology that impacts operations swiftly.

Qualifications

• Extensive experience with system identification of real-world dynamical systems.
• Proven track record of deploying control systems and architectures to real-world hardware.
• Deep knowledge of various controllers beyond basic PID implementations.

Responsibilities

• Design, improve, and develop control systems and architectures for the Fusion robot assembly.
• Collaborate closely with other engineers to implement robust control schemes.
• Take full ownership of control-related performance characteristics across all hardware.

Skills

System identification of real-world dynamical systems

Deploying control systems and architectures

Knowledge of various controllers

Job description

Control Systems Engineer

KAIKAKU.AI is a VC‑backed startup transforming the restaurant industry with AI and robotics.

Location: London, UK

Why this role is remarkable:

• Work on cutting‑edge technology that is deployed and iterated upon rapidly, sometimes within hours, seeing immediate impact.
• Join a high‑growth, VC‑backed startup at a critical scaling and deployment inflection point, revolutionizing the restaurant industry.
• Enjoy significant autonomy, responsibility, and a highly varied set of tasks, fostering broad learning opportunities in a vertically integrated tech stack.

What you will do:

• Design, improve, and develop control systems and architectures for the Fusion robot assembly and other mechatronics.
• Collaborate closely with mechanical design and software engineers to implement robust control schemes.
• Take full ownership of control‑related performance characteristics across all hardware, from conveyor accuracy to mass dispensing.

The ideal candidate:

• Possesses extensive experience with system identification of real‑world dynamical systems.
• Has a proven track record of deploying control systems and architectures to real‑world hardware, beyond simulation.
• Demonstrates deep knowledge and understanding of various controllers, extending beyond basic PID implementations.

How to Apply:

To apply for this job speak to Jack, our AI recruiter. Step 1 visit our website. Step 2 click "Speak with Jack". Step 3 login with your LinkedIn profile. Step 4 talk to Jack for 20 minutes so he can understand your experience and ambitions. Step 5 if the hiring manager would like to meet you, Jack will make the introduction.