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For Companies At a Glance
- Tasks: Design and develop cutting-edge systems for AI and robotics, focusing on Unmanned Aircraft Systems.
- Company: Fast-growing start-up at the forefront of AI and safety technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team shaping the future of AI and robotics safety.
- Qualifications: Degree in relevant field and experience in systems architecture.
- Other info: Collaborative environment with a strong focus on innovation and real-world impact.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote (with occasional travel to London HQ)
Employment Type: Permanent – Full Time
Department: Engineering
Reporting To: Head of Engineering
Compensation: (DoE)
About the Opportunity
Our client is building AI and Autonomous Systems — a next-generation safety technology. Launched in 2017, they are a fast-growing start-up working at the forefront of AI, robotics, and safety-critical systems, with a strong focus on innovation and real-world impact.
Working Culture
Our client operates with the pace and ambition of a high-growth start-up. They are building something meaningful and are looking for individuals who are energised by that journey. This environment will suit someone who:
- Enjoys taking ownership
- Is comfortable wearing multiple hats
- Learns quickly and adapts to change
- Is willing to go beyond core hours when needed to maintain momentum
The team is driven by building, solving complex problems, and moving quickly together. Collaboration and adaptability are key, and individuals are expected to bring curiosity, commitment, and a strong team mindset.
The Role
Our client is seeking a Systems Engineer to join their engineering team, working on cutting-edge assurance systems for AI and robotics applications, initially focused on Unmanned Aircraft Systems (UAS). In this role, you will play a key part in:
- Shaping system architecture
- Supporting software design
- Managing engineering lifecycle activities
- Contributing to the development of safety-critical solutions
This is an opportunity to work on technologies that are shaping the future of AI and robotics safety, within a highly innovative environment.
Key Responsibilities
- Design and develop system architectures, particularly for Unmanned Aircraft Systems (UAS).
- Collaborate with cross-functional teams including embedded software, safety, and ML engineers to ensure cohesive system integration.
- Conduct system-level analysis, trade-off studies, and risk assessments to meet safety, performance, and regulatory requirements.
- Define and maintain system-level requirements, interfaces, and specifications in line with industry standards.
- Oversee implementation, integration, and verification of system components.
- Manage the systems engineering lifecycle from planning through to validation, verification (V&V), and customer acceptance.
- Contribute to improving systems engineering processes, tools, and methodologies.
Key Skills & Experience
- Degree (Bachelor’s, Master’s or PhD) in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field.
- Experience in systems architecture and design within complex, safety-critical environments — ideally in the UAS domain.
- Knowledge of systems engineering methodologies such as MBSE, SysML, and DoDAF.
- Understanding of software and hardware architecture, real-time systems, and embedded systems design.
- Experience with safety-critical standards (e.g., DO-178C, DO-254, ARP4754A, ARP4761).
- Familiarity with UAS regulations and standards (e.g., FAA, EASA, ICAO).
- Strong analytical and problem-solving skills.
- Excellent communication and ability to collaborate across teams.
About the Technology
Our client’s software enables the assured and trustworthy deployment of both deterministic autonomy and AI-driven control methods — without reliance on data or communication links. Their initial focus is on autonomous systems within aerospace and land-based environments, developing solutions that are:
- Future-focused
- Compliance-ready
- Built for safety-critical applications
System Engineer employer: Chase Global
Contact Detail:
Chase Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and defence sectors, especially those working with AI and robotics. Attend industry events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to systems engineering, especially in UAS. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of SysML and MBSE methodologies. Be ready to discuss how you've applied these in past projects, as well as your approach to problem-solving in safety-critical environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who are eager to contribute to innovative projects. Your next big opportunity could be just a click away!
We think you need these skills to ace System Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Systems Engineer role. Highlight your experience with systems architecture, especially in safety-critical environments like UAS. We want to see how your skills align with what we're building!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and robotics, and explain why you're excited about working in a fast-paced start-up environment. Let us know how you can contribute to our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love candidates who can think critically and adapt quickly, so don't hold back on sharing your experiences!
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 don’t miss out on any important updates. We can't wait to hear from you!
How to prepare for a job interview at Chase Global
✨Know Your Systems Engineering Stuff
Make sure you brush up on your knowledge of systems architecture and design, especially in safety-critical environments. Be ready to discuss methodologies like MBSE and SysML, as well as any relevant standards like DO-178C or ARP4754A.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in the past. Think about specific challenges you've faced in UAS or similar projects and how you approached them. This will demonstrate your analytical skills and ability to adapt.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with software, safety, and ML engineers. Highlight instances where teamwork led to successful outcomes, showing that you're a team player.
✨Be Curious and Engaged
Show your enthusiasm for the role and the company's mission. Ask insightful questions about their AI and robotics projects, and express your eagerness to contribute to innovative solutions. This will reflect your commitment and curiosity, which are key traits they’re looking for.