At a Glance
- Tasks: Join our team to build and debug real robotic systems using cutting-edge AI technology.
- Company: Innovative robotics company at the forefront of AI and automation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Make a tangible impact in robotics by bridging research with real-world applications.
- Qualifications: Degree in Mechatronics or Robotics and hands-on experience with real robotic systems.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a senior Robotics AI Engineer to join our core team. You will work at the intersection of hardware, data, and learning — making the physical system work end-to-end and bridging research with real-world deployment.
This is a hands-on role for someone who builds, ships, and debugs real systems. Day-to-day, you will be:
- Integrating and operating real robots (starting with robotic arms, expanding to other form factors) with our stack
- Building and maintaining the data pipelines that turn raw multimodal capture into clean, synchronised training data
- Solving retargeting — mapping human demonstrations onto different robot embodiments accurately and stably
- Owning calibration end-to-end, across humans, sensors, and robot platforms
- Running sim-to-real workflows and closing the gap between simulation and physical performance
- Deploying trained policies onto physical hardware and debugging until they work reliably
- Collaborating directly with our ML and hardware teams to make sure the full stack performs as one system
Required Experience:
- Bachelor's or Master's in Mechatronics, Mechanical Engineering, Robotics, or a closely related field
- Proven hands-on experience deploying real robotic systems (not just simulation)
- Strong robotics software background — kinematics, dynamics, control
- Python (production-grade), comfortable in Linux environments
- Sim2Real workflows and the practical debugging that comes with them
- Sensor synchronisation across cameras, IMUs, encoders, and tactile sensors
- Experience with at least one of: LeRobot, Isaac Sim/Lab, or equivalent robotics frameworks
- Demonstrated ability to debug real systems under pressure
Strong Bonus:
- PhD in Mechatronics, Robotics, or a related discipline
- Working knowledge of AI / ML — particularly applied to robotics
- Prior work with VLA models (π0, π0.5, OpenVLA, RT-2 or similar)
- ROS 2, C++, Git, CI/CD, containerisation (Docker)
- Experience with imitation learning, diffusion policies, or flow matching for robotics
- Open-source contributions to robotics projects
- Inverse kinematics, motion retargeting, or teleoperation pipeline experience
Robotics Engineer (AI) in Edinburgh employer: Stealth Robotics Startup
Join a pioneering team where innovation meets real-world application in the field of robotics. As a Robotics Engineer (AI), you will thrive in a collaborative environment that values hands-on experience and encourages continuous learning, with ample opportunities for professional growth. Located in a vibrant tech hub, our company offers a dynamic work culture, competitive benefits, and the chance to contribute to cutting-edge projects that shape the future of robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Robotics Engineer (AI) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real robotic systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for hands-on interviews! Brush up on your practical skills and be ready to demonstrate your problem-solving abilities with real robots. Practice debugging scenarios and sim-to-real workflows to impress your interviewers.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with robotics and AI, and let us know why you're excited about the role.
We think you need these skills to ace Robotics Engineer (AI) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Robotics Engineer (AI) role. Highlight your hands-on experience with real robotic systems and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects where you've integrated hardware and software. If you've worked on sim-to-real workflows or debugging, let us know! We love seeing practical applications of your skills.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Stealth Robotics Startup
✨Know Your Robotics Inside Out
Make sure you brush up on your knowledge of robotics systems, especially the ones mentioned in the job description like LeRobot and Isaac Sim. Be ready to discuss your hands-on experience with deploying real robotic systems, as this will show your practical skills and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in sim-to-real workflows or debugging real systems. Think about times when you had to calibrate sensors or synchronise data across different platforms, and be ready to explain your thought process.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the tools and languages listed in the job description, like Python, ROS 2, and Git. If you have experience with containerisation or CI/CD, make sure to highlight that too. Being able to speak fluently about these technologies will impress your interviewers.
✨Collaborate and Communicate
Since this role involves working closely with ML and hardware teams, think about how you can demonstrate your collaborative skills. Prepare to discuss past experiences where teamwork was key to success, and be ready to show how you can bridge the gap between different disciplines.
