Software Engineering Manager - Deep Tech

Marylebone High Street
2 months ago
Applications closed

Related Jobs

View all jobs

Director of Technology

Safety Engineering Manager (Systems Engineer)

Export Control Manager

Trainee Project Manager

Simulator Support Technician

Mechanical Design Engineer

This Deep Tech scale up is using AI to transform how things get made in the physical world. They are solving genuinely hard problems where computer science meets engineering physics, with real constraints and tangible outcomes. The technology is deployed in production environments globally, making a measurable difference to how people work.

As the successful Software Engineering Manager you will bring clarity, energy, and direction to a high-performing engineering group. Someone who blends technical depth with exceptional leadership, and who cares as much about people as they do about elegant architecture and delivery excellence.

What you'll do:

  • Lead a team of smart engineers (around 10) building production software that industrial customers depend on daily.

  • You'll shape technical strategy, drive delivery, and build a culture where hard problems get solved elegantly.

  • Oversee architecture, mentor talented Software Engineers who love a challenge, and work closely with product to turn complex customer needs into elegant technical solutions. You’ll also have knowledge of Agile, OKRs, DevOps and CI/CD.

    You should apply if:

  • You've led software engineering teams before and know how to get the best out of talented people.

  • You can talk architecture and algorithms, but you also understand delivery, stakeholder management and building engineers' careers.

  • You have a previous hands on software engineering background

  • You've worked in Engineering, CAD, Robotics, AI or Deep Tech industries in a prior role.

  • Bonus points if you've worked with industrial tech, cloud infrastructure (AWS/Azure), DevOps, simulation engineering, have a Maths / Physics background or worked with C++ in the past.

    What’s in it for you:

    Salary up to £120k, stock options, annual performance equity, top-tier medical coverage, life insurance, sabbaticals, lots of growth potential and hybrid working in the London office.

    This technology is deployed globally, making a measurable difference to how people work and 2026 is going to be a huge year with the company doubling in size.

    Are you ready to build something that matters with global impact? Send your CV now for a confidential chat

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 Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

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

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

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

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.