software engineer

ai engineer

machine learning engineer

senior software engineer

full stack engineer

embedded software development engineer

XYZ Reality

<div>Job title: Embedded Software Engineer &ndash; Wearable Systems &amp; Sensor Integration
Location: London, UK (Hybrid)
ABOUT XYZ REALITY 
XYZ Reality are the creators of the world's first and only engineering-grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom &mdash; a smart, site-safe headset/hardhat &mdash; but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with delivery timescales and budgets.
XYZ has grown to over 100 staff across the UK, US &amp; Europe and is working with Mission Critical organisations &amp; construction companies to successfully deliver major projects.
THE ROLE 
XYZ Reality is developing the next generation of wearable technology for the construction industry &mdash; combining advanced sensing, localisation, computer vision, and augmented reality into products that are transforming how major projects are delivered.
We are looking for a talented Embedded Software Engineer to join our Hardware team and take a hands-on role in building the embedded software stack that powers these platforms. You'll work closely with Hardware, Mechanical Engineering, Navigation Algorithms, and Production teams &mdash; developing Linux drivers, sensor integrations, and hardware interfaces for wearable systems operating in demanding industrial environments.
This is a role for someone with a practical engineering mindset who takes ownership, thrives in a multidisciplinary environment, and wants to see their work go from prototype all the way through to production deployment.
KEY RESPONSIBILITIES<ul><li> 
Develop embedded software and firmware for wearable computing platforms &mdash; including Linux kernel modifications, board support packages, and device drivers &mdash; with a focus on NVIDIA Jetson and other embedded compute platforms.</li><li>Build drivers and interfaces for cameras, IMUs, GNSS receivers, LiDAR, ToF sensors, displays, and communication peripherals (SPI, I2C, UART, USB, Ethernet) &mdash; supporting hardware bring-up, debugging, and system integration.</li><li>Support integration of embedded AI, localisation, perception, and sensor processing systems &mdash; working closely with the Navigation Algorithms team to ensure hardware and software work seamlessly together.</li><li>Develop production software, manufacturing test tools, factory calibration systems, and automated validation tooling &mdash; supporting the transition of products from development into full-scale manufacturing.</li><li>Participate in architecture reviews, design reviews, and technical planning &mdash; contributing maintainable, well-tested, production-quality software and clear engineering documentation throughout.</li><li>Collaborate cross-functionally with Hardware, Mechanical Engineering, Production, R&amp;D teams, and external suppliers &mdash; supporting prototype builds, technical investigations, and validation activities.</li></ul>
REQUIRED QUALIFICATIONS<ul><li> 
Degree in Computer Engineering, Software Engineering, Electronic Engineering, Computer Science, or a related discipline, with 3+ years of embedded software or firmware development experience.</li><li>Strong C and C++ programming skills, with proven experience developing Linux kernel components, board support packages, or device drivers, and integrating hardware peripherals and sensors.</li><li>Solid understanding of embedded system architectures, microcontrollers, hardware interfaces, and multi-threaded software development across communication protocols including SPI, I2C, UART, USB, and Ethernet.</li><li>Practical, hands-on engineering mindset &mdash; comfortable taking ownership of technical challenges, working independently across a multidisciplinary team, and seeing development through from prototype to production.</li></ul>
KEY EXPERIENCE &amp; SKILLS<ul><li> 
C / C++ &amp; embedded Linux &mdash; kernel, BSP &amp; device driver development</li><li>Sensor integration &mdash; cameras, IMUs, GNSS, LiDAR, ToF &amp; displays</li><li>NVIDIA Jetson &amp; embedded compute platform experience</li><li>Hardware interfaces &mdash; SPI, I2C, UART, USB &amp; Ethernet</li><li>Production test, calibration &amp; manufacturing support tooling</li><li>Practical, proactive &amp; ownership-driven engineering mindset</li></ul>
BENEFITS 
25 days annual leave + public holidays
Private healthcare with Vitality
Christmas shutdown days on top of leave allowance (2&ndash;4 per year usually)
Office located within a 5-minute walk from Angel station
Hybrid working
Biannual salary reviews
Summer &amp; Christmas staff parties
Free lunch bought in and after-work gathering/drinks every other Thursday in the office
Employee referral scheme
Make a real-world impact of revolutionising the construction industry</div>

Embedded Software Engineer - Wearable Systems

ZENOVO

<div>Location: London (Hybrid) 
Rate: &pound;50-55 per hour + VAT 
IR35 Status: Outside IR35 
 
About the Opportunity We're supporting an innovative technology business developing cutting-edge wearable products that combine hardware, embedded systems, AI, and data analytics to deliver real-time performance coaching. 
The business has grown from an early-stage concept into a globally recognised technology platform, leveraging large-scale real-world data and intelligent sensing to create industry-leading products. 
We're seeking a Hardware &amp; Embedded Software Engineer to help develop the next generation of wearable technology. 
The Role This is a highly varied engineering position sitting at the intersection of hardware, embedded software, sensors, and product development. 
You'll work closely with product, AI, mobile, and data teams to develop wearable electronics that deliver accurate real-time performance feedback in demanding environments. 
This role is ideal for an engineer who enjoys owning products from concept through to manufacture and wants to see their work used by thousands of customers worldwide. 
Responsibilities
<ul><li>Design and develop embedded electronic systems for wearable technology products</li>
<li>Select sensors, microcontrollers, wireless modules, batteries, and supporting components</li>
<li>Design schematics and support PCB development activities</li>
<li>Develop embedded firmware in C/C++</li>
<li>Integrate IMUs, pressure sensors, Bluetooth Low Energy (BLE), and other sensing technologies</li>
<li>Develop and optimise real-time data acquisition and processing systems</li>
<li>Prototype and test new product concepts</li>
<li>Perform hardware validation, debugging, and performance optimisation</li>
<li>Support manufacturing, certification, and production readiness activities</li>
<li>Work closely with software, mobile, and machine learning teams to ensure seamless hardware-software integration</li>
<li>Contribute to future product roadmaps and technology strategy</li>
</ul>Required Skills &amp; Experience
<ul><li>Degree in Electronics Engineering, Embedded Systems, Computer Engineering, or similar</li>
<li>Experience developing embedded hardware and software products</li>
<li>Strong schematic design and component selection experience</li>
<li>Embedded C/C++ programming experience</li>
<li>Experience with ARM Cortex-M microcontrollers or similar embedded platforms</li>
<li>Experience working with sensors such as IMUs, pressure sensors, accelerometers, or motion tracking devices</li>
<li>Understanding of low-power design techniques for battery-operated products</li>
<li>Experience with wireless communication technologies, particularly Bluetooth Low Energy (BLE)</li>
<li>Familiarity with laboratory debugging tools including oscilloscopes, logic analysers, and protocol analysers</li>
<li>Strong problem-solving skills and hands-on engineering mindset</li>
</ul>Desirable Experience
<ul><li>Wearable technology development</li>
<li>Sports technology products</li>
<li>Signal processing</li>
<li>Sensor fusion algorithms</li>
<li>Python for test automation or data analysis</li>
<li>PCB design experience using Altium, KiCad, or similar ECAD tools</li>
<li>Manufacturing and product certification experience</li>
<li>Experience working in start-up or scale-up environments</li>
</ul>What's on Offer
<ul><li>Opportunity to work on innovative consumer technology products</li>
<li>Significant technical ownership and influence over product direction</li>
<li>Exposure to hardware, software, AI, and data-driven product development</li>
<li>Outside IR35 contract</li>
<li>Hybrid working environment</li>
<li>Collaborative and highly technical engineering culture</li>
<li>Opportunity to help shape the future of intelligent wearable technology</li>
</ul>If you're excited by sensors, embedded systems, real-world data, and building products that genuinely improve user performance, we'd love to hear from 
you. 
 
please note we cannot offer sponsorship for this this current role.</div>

Hardware & Embedded Software Engineer

Wayve

<div><div><h2 class="jobSectionHeader">About us
</h2>Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
 
 
In our fast-paced environment big problems ignite us&mdash;we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
</div><h2 class="jobSectionHeader">The role</h2>

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve's software and robotics teams to deploy AV software efficiently.

Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.

You will play a crucial role in advancing Wayve's AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:
<ul>
<li>Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms.</li>
<li>Integrate and adapt critical AV functions, including inference, navigation, control, localisation, and vehicle interfaces.</li>
<li>Work across Linux and QNX-based systems while minimising platform-specific customisation.</li>
<li>Debug, troubleshoot, and improve software and system performance, ensuring reliability, scalability, and operational excellence across production and development fleets.</li>
<li>Collaborate with cross-functional teams, hardware vendors, and automotive partners to define requirements and ensure seamless integration with the autonomous driving stack.</li>
<li>Participate in architecture reviews, testing, code reviews, documentation, and automotive software quality processes to maintain high engineering standards.</li>
</ul><h2 class="jobSectionHeader">About you</h2>

In order to set you up for success as an Embedded Automotive Platforms Software Engineer at Wayve, we're looking for the following skills and experience.

Essential
<ul>
<li>Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field</li>
<li>Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries</li>
<li>Proficiency in C++ programming language for high-performance systems</li>
<li>Hands-on experience with embedded operating systems (e.g., Linux, QNX)</li>
<li>Strong understanding of middleware architectures and IPC mechanisms</li>
<li>Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues</li>
<li>Familiarity with hardware abstraction layers (HAL) and device driver development</li>
<li>Strong debugging skills and attention to detail in complex systems</li>
<li>Excellent communication and teamwork skills</li>
<li>Ability to work in a fast-paced and dynamic environment</li>
</ul>
Desirable
<ul>
<li>Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems</li>
<li>Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms</li>
<li>Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus</li>
<li>Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)</li>
<li>Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners</li>
<li>Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)</li></ul> 
<h2 class="jobSectionHeader">
</h2>This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.<div> 
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. 
 
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.</div></div>

Embedded Automotive Platforms Software Engineer

Mo-Sys Engineering Ltd

Mo-Sys is an award-winning, world-renowned manufacturer of virtual production solutions and camera robotics for film, HETV and broadcast, empowering high-quality AR, VR and virtual production. We are searching for an experienced Embedded Developer.This is an exciting opportunity to drive ongoing development in a truly cutting-edge environment. You will be paving the way for future innovation as part of small, Agile team of embedded specialists. You will be passionately dedicated to the development of smart and inspired technology. This technology is rapidly changing the future of camera tracking, robotic control and film production.Responsibilities<ul><li>Cross team collaboration, predominantly within electronics, mechanical design &amp; software departments.</li><li>Participating in daily Scrum stand-ups.</li><li>Conducting sprint planning &amp; review, priority management &amp; Agile retrospectives.</li><li>Creation of firmware for new and existing products, writing efficient, high-quality, maintainable code and conducting code review.</li><li>Driving product development from concept &amp; deployment to future maintenance.</li><li>Collaborating internally and externally, to facilitate efficient project delivery.</li></ul>Requirements<ul><li>Hands-on experience in Embedded / Firmware (C and C++).</li><li>Degree in Computer Science, Software Engineering, or similar.</li><li>Embedded system architecture design, implementation &amp; maintenance.</li><li>Solution finding using advanced robotic systems and working on complex projects.</li><li>Network Interface - SPI, I2C, USB, UART, RS232, RS485, Ethernet CAN-bus.</li><li>Understanding of electronic PCB.</li><li>Proven track record of delivering high-quality products.</li><li>Real-time operating systems (RTOS) &amp; ARM Cortex-M microcontrollers.</li><li>MBED &amp; STM32 Microcontroller experience desirable.</li><li>Interest in low level Motor Control / PID desirable.</li></ul>Skills &amp; Competencies<ul><li>Eagerness to continually learn and improve.</li><li>Able to clearly articulate ideas and engage in open-minded discussions, fostering transparency and a culture of collaboration.</li><li>Can explain technical concepts in a way that is easily understood by non-technical individuals.</li><li>You think outside the box and are excellent at finding solutions to complex problems.</li><li>A strong focus on quality and adherence to best practice, delivering robust and reliable solutions.</li><li>Ability to effectively prioritise tasks and manage demanding workloads proficiently.</li><li>Demonstrate resilience in the face of constantly evolving business priorities.</li><li>Ability to work autonomously and proactively, often managing your own workload.</li><li>Meticulous attention to detail.</li></ul>Benefits &amp; Perks<ul><li>Casual office environment.</li><li>While we request some flexibility from you, we&rsquo;re also open to flexible work hours to accommodate a win-win situation for all.</li><li>We have a continuous development budget to put towards courses, training and conferences.</li><li>Private health insurance with AXA Health that covers many physical and mental health costs, including dental and vision cash back.</li><li>Gym membership discounts via AXA Health.</li><li>Group life insurance and a 24/7 Employee Assistance Program (EAP).</li><li>Cycle to Work scheme &ndash; we&rsquo;ll buy a bike up-front, and you can pay it off over the next 12 months via a salary sacrifice scheme.</li><li>We organise occasional in-person office socials to make sure you have the opportunity to build on deeper trusting connections with peers.</li><li>33 days base holiday (25 days + 8 bank holidays) including company closure between Christmas and NY.</li></ul>Interview ProcessInterviews at Mo-Sys are quite informal and conversational, generally carried out over a three stage process. To help us learn more about your workplace behaviours and preferences, you will also be invited to complete a short Predictive Index (PI) Behavioural and Cognitive Assessment. Depending on the position, you may also be required to undertake a technical assessment. The final stage normally involves meeting with senior members of the management team in our office in North Greenwich, London.About Mo-SysWe ship to broadcasters in 40+ countries to a customer base including BBC, Netflix, Fox, CNN, ESPN and Sky. Mo-Sys remote heads and robotics are used on many Hollywood blockbusters including Life of Pi, Birdman, Shape of Water, Tron, Source Code and Adjustment Bureau. We have also delivered boundary-pushing technology projects in close collaboration with clients like Red Bull Air Race and the film Gravity.We pride ourselves on having endless creativity, a &ldquo;can do&rdquo; attitude and a friendly family feel to the company. We&rsquo;re looking for people who make all the difference in nurturing an inclusive, down-to-earth culture. We embrace fresh ideas, encourage innovation and value openness. We believe that great ideas come from anywhere and encourage our teams to work together across positions, departments, and geographical locations. We want people to love their work and show respect to all.Pay: &pound;50,000.00-&pound;60,000.00 per yearBenefits:<ul><li>Additional leave</li><li>Bereavement leave</li><li>Casual dress</li><li>Cycle to work scheme</li><li>Enhanced maternity leave</li><li>Enhanced paternity leave</li><li>Health &amp; wellbeing programme</li><li>Life insurance</li><li>On-site parking</li><li>Private dental insurance</li><li>Private medical insurance</li><li>Sick pay</li></ul>Experience:<ul><li>Embedded software: 1 year (required)</li></ul>Work authorisation:<ul><li>United Kingdom (required)</li></ul>Work Location: In person

Embedded Software Developer

Apple

The Private Cloud Compute (PCC) team builds Apple's privacy-preserving cloud inference platform - the system that lets generative-AI features on iPhone, iPad, Mac, and Vision Pro reach into the cloud without compromising user privacy. We are looking for a Software Engineer to join the team that builds the on-device client side of that pipeline: the system frameworks and sandboxed services that every Apple Intelligence and Foundation Models request flows through before it ever leaves the device. 
 
This is system-level Apple platform work. You will design and ship the Swift frameworks that turn high-level inference requests into a compact wire protocol, manage long-lived connections, stream multimodal output back to client apps - all under strict process isolation and privacy guarantees. Your code will run on every device that uses Apple Intelligence - and the bar for correctness, performance, and privacy is set accordingly. 
 
Description 
You will be a key contributor to the Swift frameworks and XPC services that connect on-device apps and system daemons to PCC. Day-to-day responsibilities include: 
 
Designing and evolving the on-device client SDKs and the XPC services they sit behind, balancing API ergonomics for client teams with the strict process-isolation and attestation guarantees required by PCC. 
Implementing high-throughput, low-latency request paths: protobuf serialization of inference payloads, payload compression, multi-turn session state and lifecycle, retry/cancellation semantics, and streaming of incremental model output back to clients. 
Owning concurrency and resource management across async/await, AsyncStream, and GCD - including correct cancellation, back-pressure, and lifetime management of long-lived XPC connections. 
Building the telemetry, signposts, and privacy-audited logging that let on-call engineers diagnose request failures across device, cloud, and inference layers without exposing user data. 
Collaborating closely with the PCC server-side, Foundation Models, attestation, and platform-frameworks teams; writing design documents, leading reviews, and mentoring engineers on Apple platform fundamentals. 
Profiling on real hardware with Instruments and driving down memory, latency, and energy costs in the request path - these libraries run on every device, on every inference, so every microsecond matters. 
 
Preferred Qualifications 
Experience designing or evolving wire protocols (e.g., Protocol Buffers), data-streaming pipelines, or connection management. 
Hands-on experience with Apple's Inter-Process Communication (XPC) to bridge sandboxed applications and system services. 
Familiarity with secure communication protocols, cryptography, or privacy-preserving architectures. 
Working knowledge of ML concepts and frameworks and proficiency in performance profiling with Instruments, and experience implementing robust client-side telemetry and logging using native Apple APIs. 
Familiarity with end-to-end systems that span device, network, and server tiers, and comfort reasoning about failure modes across that boundary. 
 
Minimum Qualifications 
Experience developing complex, system-level frameworks, daemons, or background services for iOS and macOS (beyond standard UI-focused app development). 
Strong programming proficiency in Swift, alongside experience with Objective-C or C/C++ for lower-level system integration. 
Deep understanding of concurrency (Swift Concurrency, GCD), memory management, and asynchronous network programming.

Software Engineer - Private Cloud Compute, On-Device Client Frameworks

Scrumconnect Consulting

<div><div>Job Information
<ul><div>Date Opened
<div>24/06/2026
</div></div><div>Job Type
<div>Permanent
</div></div><div>Industry
<div>Government &amp; Public Sector
</div></div><div>Work Experience
<div>5+ years
</div></div><div>Salary
<div>60K
</div></div><div>City
<div>London
</div></div><div>Province
<div>Greater London
</div></div><div>Country
<div>United Kingdom
</div></div><div>Postal Code
<div>EC1A
</div></div></ul></div><div>Job Description
<div>About Scrumconnect Consulting 
Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.
We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. 
Role Summary 
We are seeking an experienced Embedded DevOps Engineer to design, implement, and maintain robust CI/CD pipelines, automation frameworks, and deployment solutions for embedded and edge computing platforms. The role focuses on accelerating software delivery, improving system reliability, enabling secure device management, and supporting large-scale deployment of embedded applications across distributed environments. 
Key Responsibilities 

DevOps &amp; CI/CD 
<ul><li>
Design, implement, and maintain CI/CD pipelines for embedded software and edge applications. 
</li><li>
Automate build, test, packaging, and deployment processes. 
</li><li>
Establish and maintain software versioning, release management, and artifact repositories. 
</li><li>
Improve build efficiency, deployment reliability, and development productivity. 
</li></ul>
Embedded Platform &amp; Device Management 
<ul><li>
Support development and deployment of embedded Linux-based systems. 
</li><li>
Manage device provisioning, configuration, software updates, and lifecycle management. 
</li><li>
Implement secure remote deployment and rollback mechanisms. 
</li><li>
Support fleet-wide software rollout strategies and operational monitoring. 
</li></ul>
Test Automation &amp; Quality 
<ul><li>
Develop and integrate automated testing frameworks including unit, integration, system, and hardware-in-the-loop (HIL) testing. 
</li><li>
Integrate quality gates and automated validation into CI/CD workflows. 
</li><li>
Monitor and improve software quality, test coverage, and deployment success rates. 
</li></ul>
Infrastructure &amp; Reliability 
<ul><li>
Manage build infrastructure, development environments, and deployment platforms. 
</li><li>
Implement Infrastructure as Code (IaC) and configuration management solutions. 
</li><li>
Monitor system performance, availability, and operational health. 
</li><li>
Troubleshoot build, deployment, and runtime issues across environments. 
</li></ul>
Security &amp; Compliance 
<ul><li>
Implement secure software delivery practices and DevSecOps controls. 
</li><li>
Support vulnerability management, patching, and software supply chain security. 
</li><li>
Ensure compliance with organizational security and governance requirements. 
</li><li>
Maintain traceability of software artifacts throughout the release lifecycle. 
</li></ul>
Collaboration 
<ul><li>
Work closely with Embedded Software Engineers, Platform Engineers, QA teams, Security teams, and Product Owners. 
</li><li>
Drive adoption of DevOps best practices and continuous improvement initiatives. 
</li><li>
Contribute to technical standards, documentation, and engineering processes. 
</li></ul>
Required Skills &amp; Experience 

Technical Skills 
<ul><li>
Strong experience with Linux-based environments and system administration. 
</li><li>
Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. 
</li><li>
Proficiency in scripting and automation using Python, Bash, or similar languages. 
</li><li>
Strong knowledge of Git and source control management. 
</li><li>
Experience with Docker and containerized development workflows. 
</li><li>
Experience with Infrastructure as Code tools such as Terraform or Ansible. 
</li></ul>
Embedded Systems 
<ul><li>
Experience working with embedded Linux platforms and cross-compilation environments. 
</li><li>
Understanding of embedded software development lifecycles. 
</li><li>
Familiarity with device provisioning, firmware/software updates, and deployment strategies. 
</li><li>
Knowledge of hardware-software integration and debugging processes. 
</li></ul>
Monitoring &amp; Observability 
<ul><li>
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or OpenTelemetry. 
</li><li>
Ability to analyze system metrics and troubleshoot production issues. 
</li></ul>
Preferred Qualifications 
<ul><li>
Experience with Yocto, Buildroot, or similar embedded Linux build systems. 
</li><li>
Knowledge of Kubernetes and container orchestration platforms. 
</li><li>
Experience with edge computing, IoT platforms, or distributed device management. 
</li><li>
Familiarity with secure development lifecycle (SDLC) and DevSecOps practices. 
</li><li>
Experience working in regulated or mission-critical environments.</li></ul> 
Our interview process 
We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. 
Equal Opportunities 
Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.</div></div></div>

Embedded DevOps Engineer

comind

<div>At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.<h3 class="jobSectionHeader">
The Role:</h3>
The Software team at CoMind spans the full stack of a regulated medical device company &mdash; from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.
As a Staff Software Engineer, you will be a technical authority within the Software team, owning complex technical problems in embedded and real-time C++ development. You will work across hardware abstraction, real-time data acquisition, and system integration, bringing the depth of experience needed to architect and deliver software that performs reliably in a regulated, safety-critical context.
At CoMind, all team members work at least 4 days per week from our new Kings Cross office, plus a flexible work-from-home day.<h3 class="jobSectionHeader">
Responsibilities:
</h3><ul><li>Design, implement, and maintain high-performance embedded and real-time software components in C++, including hardware abstraction layers, device drivers, and data acquisition pipelines.</li><li>
Define and drive technical strategy, proactively identifying and mitigating cross-team dependencies and technical debt while setting the long-term vision for embedded architecture.</li><li>
Act as a technical bridge, synthesising and communicating complex architectural decisions to non-technical stakeholders (including Product, Clinical, and Regulatory teams) to ensure alignment on project goals.</li><li>
Mentor and grow engineers, fostering a culture of technical excellence, code quality, and professional development within the broader software team.</li><li>
Ensure software quality through code review, unit and integration testing, and strict adherence to CoMind&rsquo;s software development lifecycle under IEC 62304.</li><li>
Collaborate with electronics and FPGA teams on hardware-software interfaces, supporting hardware bring-up, system integration, and complex debug.</li><li>
Contribute to risk management and design documentation activities, including software hazard analysis and traceability in line with ISO 14971 and CoMind&rsquo;s QMS.</li><li>
Participate in design reviews, sprint planning, and cross-functional technical forums, contributing to a high-performance engineering culture.</li><li>
AI is fundamental to our culture &mdash; it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.</li></ul><h3 class="jobSectionHeader">
Skills &amp; Experience:</h3><ul><li>
10+ years of experience in software engineering, with a strong focus on systems-level software architecture</li><li>
Deep expertise in modern C++ (C++17 or later), including memory management, concurrency, real-time constraints, and performance optimisation</li><li>
Hands-on experience developing software for embedded Linux environments, including device driver development and hardware abstraction</li><li>
Experience in a regulated industry (medical devices, aerospace, automotive, or similar) including familiarity with IEC 62304 or equivalent software development standards</li><li>
Strong understanding of hardware-software integration, including FPGA or microcontroller interfaces, communication buses (SPI, I2C, UART, PCIe), and real-time operating systems</li><li>
Demonstrated ability to write clean, well-tested, and maintainable code in a safety-critical context</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with high-speed data acquisition systems or real-time signal processing pipelines</li><li>
Familiarity with optical or biomedical hardware integration</li><li>
Background in or exposure to data science or ML pipelines and the software interfaces that feed them</li><li>
Experience with CI/CD tooling, automated testing frameworks, and static analysis tools in an embedded context</li><li>
Knowledge of IEC 60601-1-4 or other medical device software standards</li><li>
Familiarity with architecture and engineering of cloud-based IoT systems</li><li>
Experience with health-tech data residency</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Company equity plan so all employees share in the success of the company</li><li>
Salary-sacrifice pension scheme</li><li>
Private medical, dental and vision insurance (medical history disregarded)</li><li>
Group life assurance at 4x annual income</li><li>
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals</li><li>
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter</li><li>
Lunch voucher (&pound;10) every day for JustEat and free dinner on those days where you need to work later</li><li>
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks</li><li>
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores</li></ul>
Compensation Range: &pound;106K - &pound;159K</div>

Staff Software Engineer

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