Senior Robotics Software Engineer (Flight Software)

London
1 week ago
Create job alert

Flight Software Engineer
Up to £65,000
Competitive Benefits Package
Remote Working
Permanent

Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered.

We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems.

The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical.

You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards.

We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage.

Key Responsibilities:

  • Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems
  • Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform
  • Conduct testing, optimisation and validation to ensure software meets safety and performance requirements
  • Contribute to improving development processes, tooling and methodologies for robotics systems
  • Stay up to date with advancements in robotics software, algorithms and frameworks and apply them within the product
  • Mentor junior engineers and support knowledge sharing across the engineering team

    Key Skills

  • Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering or a related discipline
  • Proven experience developing software for robotic or autonomous systems
  • Strong proficiency in C/C++ and Python
  • Experience with robotics frameworks such as ROS, Gazebo or MoveIt
  • Strong understanding of robotics algorithms including perception, planning, control and decision-making
  • Experience with modern software development practices such as Agile, CI/CD and Test-Driven Development
  • Excellent analytical, debugging and problem-solving skills
  • Strong communication and collaboration skills

    Desirable Skills

  • Experience working on safety-critical or mission-critical systems
  • Familiarity with safety standards such as DO-178C, ISO 26262 or IEC 61508
  • Experience working in robotics, autonomous systems or aerospace environments
  • Experience mentoring or supporting junior engineers

    What you get in return:

    Salary Up to £65,000
    Generous Holiday Allowance
    Salary Sacrifice Pension with 5% matched company contribution
    EV Car Scheme
    Cycle to Work Scheme
    Opportunity to work on cutting-edge AI, robotics and safety technologies in a fast-growing start-up environment

    This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    Interested?

    Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on (phone number removed).

    DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Related Jobs

View all jobs

Senior Software Engineer

Senior Mechanical Design Engineer

Medical Devices - Senior Mechanical Design Engineer - Cambridge

Electromechanical Design Apprentice

Senior Mechanical Design Engineer - Automation & Robotics

Lead Mechanical Design Engineer – Automation & Robotics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.