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- Tasks: Develop cutting-edge software for autonomous military systems and tackle real-world challenges.
- Company: Join a global leader in combat engineering systems, pioneering robotics and autonomous technology.
- Benefits: Enjoy flexible working hours, reduced Fridays, and a supportive, collaborative culture.
- Why this job: Be part of military innovation and influence the future of robotics and AI.
- Qualifications: Degree in Software Engineering or related field; strong coding skills in C/C++ or Python required.
- Other info: Opportunity to work internationally and test solutions in hands-on environments.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to develop cutting-edge software that changes how defence technology operates on the battlefield? We are working with a key Defence client who are a global leader in combat engineering systems, and they are seeking a Software Engineer to join their forward-thinking Research & Development Team. From remote-controlled mine clearance systems to next-gen vehicle automation, the R&D team is pioneering the future of robotics and autonomous systems (RAS). They are not just writing code, they are solving real-world challenges with practical, tested solutions alongside key partners and military clients around the globe.
What Youll Be Doing:
- Design, develop, and deploy real-time software for autonomous military systems.
- Build tools and applications for image processing, sensor integration, and machine learning.
- Test and trial your solutions in hands-on environments, sometimes on the other side of the world!
- Collaborate with multi-disciplinary teams to shape the full engineering lifecycle.
- Stay ahead of the curve with emerging technologies in robotics and AI.
What Youll Bring:
- Degree in Software Engineering, Computer Science, Physics, Maths, or related.
- Strong coding skills in C/C++ or Python and experience with Linux systems.
- Background in robotics, automation, and machine control systems.
- Experience with ROS/ROS2, OpenCV, and a passion for ML and data analysis.
- Basic electronics knowledge and the ability to interpret schematics.
Why work here?
- Be at the heart of military innovation in an agile, high-impact team.
- Work internationally with military clients and robotics leaders.
- Flexible working & reduced Friday hours.
- Supportive, collaborative culture with a focus on learning and growth.
- Opportunity to influence the next generation of RAS technology.
Ready to make an impact where it matters most? Apply now and become part of a team thats redefining the battlefield one line of code at a time.
Contact Detail:
The Thrive Team Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Robotics & Autonomous Systems (RAS) in Newcastle Upon Tyne
✨Tip Number 1
Familiarise yourself with the latest advancements in robotics and autonomous systems. Being knowledgeable about current trends and technologies will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with online communities and forums related to robotics and software engineering. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Showcase any relevant projects or contributions you've made in robotics or software development on platforms like GitHub. Having a strong portfolio can set you apart from other candidates and give you something concrete to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios related to C/C++ or Python. Being well-prepared for these assessments will demonstrate your coding proficiency and ability to tackle real-world challenges.
We think you need these skills to ace Software Engineer - Robotics & Autonomous Systems (RAS) in Newcastle Upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly in robotics and autonomous systems. Emphasise your coding skills in C/C++ or Python, and any experience with Linux systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for defence technology and how your background aligns with the role. Mention specific projects or experiences that demonstrate your skills in image processing, sensor integration, and machine learning.
Showcase Relevant Projects: If you have worked on projects related to robotics, automation, or machine control systems, include them in your application. Provide links to any code repositories or project documentation that can showcase your practical skills.
Highlight Team Collaboration: Since the role involves working with multi-disciplinary teams, mention any previous experiences where you collaborated with others. This could be in academic projects, internships, or previous jobs, demonstrating your ability to work effectively in a team environment.
How to prepare for a job interview at The Thrive Team
✨Showcase Your Technical Skills
Be prepared to discuss your coding experience in C/C++ or Python. Bring examples of projects you've worked on, especially those related to robotics or autonomous systems, to demonstrate your technical prowess.
✨Understand the Defence Sector
Familiarise yourself with the current trends and challenges in defence technology. Showing an understanding of how your role as a Software Engineer can impact military operations will impress your interviewers.
✨Highlight Collaboration Experience
Since the role involves working with multi-disciplinary teams, be ready to share examples of how you've successfully collaborated with others in past projects. Emphasise your communication skills and ability to work in diverse teams.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. This could include technical problems or project management issues, showcasing your analytical thinking and adaptability.
