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- Tasks: Design and implement cutting-edge control software for intelligent robotic systems.
- Company: Join a pioneering robotics team in Oxford with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real-world impact by pushing the boundaries of robotics and AI.
- Qualifications: Degree in Robotics or related field; strong skills in C++ and Python.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 80000 - 150000 £ per year.
Are you a software engineer who wants to build intelligent, adaptive robotic systems?
Do you enjoy designing and implementing control and autonomy software that links perception, planning, and actuation, enabling robots to interact intelligently with their environment?
This role is perfect for engineers with strong robotics and control fundamentals who love working at the intersection of hardware, software, and autonomy, building systems that go beyond standard automation.
If you excel in a fast-paced, exploratory engineering environment and want to push robotics and applied AI beyond existing limits while making a tangible real-world impact, this could be the right fit.
What You’ll Be Doing:
- Design and implement control and autonomy software for robotic platforms.
- Integrate perception, planning, and actuation into cohesive, intelligent systems.
- Build and maintain software architectures bridging low-level control, perception, and high-level planning.
- Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar).
- Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs.
- Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence.
- Contribute to the full engineering lifecycle, including architecture, lab testing, and documentation.
What We’re Looking For:
- Degree or equivalent experience in Robotics, Mechatronics, Control, or Computer Engineering.
- Strong proficiency in C++ and Python, with experience in real-time or distributed robotics software.
- Solid understanding of control theory, kinematics, dynamics, and state estimation.
- Comfortable working close to hardware and integrating sensors, actuators, perception systems and real-time control.
- Analytical thinker able to translate theory into reliable, real-world robotic systems.
Nice to Have:
- Experience with autonomy frameworks, navigation, or multi-sensor integration.
- Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs.
- Strong Mechatronics understanding.
- Exposure to simulation and validation tools for robotic systems.
- Knowledge of Machine Learning principles for perception or control.
Offices and Lab located in Oxford.
Hybrid working c.3 days in office.
Salary £80,000 - £150,000 + benefits dependent on experience.
Ready to help build the next generation of intelligent robots? Apply now and join a fast-moving team shaping the future of applied robotics and AI.
Robotics Software Engineer employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++, Python, and robotics. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on control theory and kinematics. Practice coding challenges related to robotics to demonstrate your problem-solving skills under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Robotics Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in robotics and control systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Be specific about your proficiency in C++ and Python, and any experience with robotics software. If you've worked with ROS 2 or simulation tools like Nvidia Isaac, make sure to mention that – we’re keen on those details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Lawrence Harvey
✨Know Your Robotics Fundamentals
Brush up on your control theory, kinematics, and dynamics. Be ready to discuss how these principles apply to real-world robotic systems. This shows you’re not just a coder but someone who understands the core concepts behind robotics.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in C++ and Python. You might be asked to solve a coding problem or explain your previous projects. Have examples ready that highlight your experience with real-time or distributed robotics software.
✨Familiarise Yourself with Tools and Frameworks
Get comfortable with ROS 2 and any simulation tools like Nvidia Isaac or Gazebo. Being able to discuss how you've used these tools in past projects will set you apart and show your hands-on experience.
✨Collaborate and Communicate
Since this role involves working with cross-disciplinary teams, be prepared to talk about your collaboration experiences. Share examples of how you’ve effectively communicated complex ideas to non-technical team members, as this is crucial in a fast-paced environment.
