13 jobs found

Senior Embedded Software Engineer Hampshire, UK Remote Competitive Salary An opportunity for an experienced Senior Embedded Software Engineer to join an advanced engineering team, developing embedded systems for aerospace applications. Key Responsibilities Design and develop embedded firmware in C++ and Python Lead architecture and key technical design decisions Develop software for embedded Linux-b click apply for full job details

Embedded Software Engineer - Linux / C++ / Embedded Cambridge, UK - Onsite (4-5 days per week) £65 - £85 per hour (SC Cleared, mid-senior level) Initial 6 months (strong likelihood of extension) Active SC clearance required (mandatory) An opportunity has arisen for an experienced Software Engineer to join a highly technical engineering environment delivering advanced systems within the UK defence and national security sector. This role is suited to a mid-senior level engineer with a strong Linux and embedded software background who can integrate quickly into an established team and provide immediate impact. The position is fully onsite in Cambridge (minimum 4 days per week). This is not an FPGA-focused role. The requirement is for a broad, capable software engineer with strong low-level and systems experience. Key Responsibilities: Development of software in Linux-based environments C++ application development for complex systems Embedded C development for hardware-adjacent systems Python development for tooling, automation and test Development and maintenance of GUI applications Integration, debugging and system-level testing Working closely with electronics and systems engineers in a multidisciplinary team Supporting delivery within a secure, defence environment Essential Experience: Active SC clearance Strong C++ development experience Embedded C experience Linux development environment experience Python scripting and automation experience GUI development experience (Qt or similar beneficial) Experience working within defence, aerospace or national security environments Ability to work onsite in Cambridge 4-5 days per week Desirable Experience: Experience integrating software with custom hardware Real-time systems exposure Knowledge of secure development practices Experience working within consultancy or R&D environments Candidate Profile: Broad technical exposure across systems and software Able to contribute quickly with minimal supervision Strong debugging and problem-solving capability Comfortable working in fast-paced, technically demanding environments

London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Playing in picture-in-picture Playing in picture-in-picture (opens a new window) 00:00 01:07 Quality Auto Speed Normal CC/subtitles Off Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus . You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select What are your salary expectations? Please include a specific number or range. If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.

ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme

London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.

Make The Connection Vix Technology is a global leader in providing innovative solutions for public transit, believing that accessibility should be a standard. With over 35 years of experience and systems deployed in more than 200 cities worldwide, we take a modular approach to integrate various partners and technologies, creating best in class solutions. Our dynamic team consists of over 450 dedicated professionals across 12 offices globally, spanning APAC, Europe, and North America. We pride ourselves on fostering a flexible and collaborative work environment that empowers our employees to connect and excel. If you are passionate about making a difference in public transportation and thrive in a team focused atmosphere, we invite you to apply and contribute to our vision of a more connected world. Find out more about your new workplace! Vix Technology, are seeking a Senior Software Engineer to design, develop, and support the CAST Front Office application, deployed on embedded Linux and Android devices within customer environments. This role combines hands on development with technical leadership, production support, and mentoring responsibilities. Key Responsibilities Design, develop, test, and maintain secure, scalable, and reusable software solutions for embedded Linux and Android environments. Provide technical leadership in architectural design decisions and collaborate with the Team Lead and Principal Engineer on technical direction and delivery planning. Lead and actively participate in Agile ceremonies, including sprint planning, reviews, and retrospectives. Drive high standards of code quality through peer reviews, best practices, and automated testing strategies. Mentor and support junior engineers through coaching, knowledge sharing, and technical guidance. Investigate, troubleshoot, and resolve production incidents in a timely manner to ensure system stability and customer satisfaction. Integrate software with first and third party hardware in real time, device based environments. Communicate complex technical concepts clearly to both engineering and non technical stakeholders. Essential Minimum 5+ years of professional software development experience. Strong experience developing C++ and Java applications running on embedded Linux systems and Android applications deployed to dedicated hardware devices. Experience designing and maintaining CI/CD pipelines using GitHub, including automated build, test, and deployment workflows. Experience integrating software with hardware devices and peripherals. Solid understanding of relational and non relational databases (e.g., Amazon Aurora, Oracle, PostgreSQL). Strong focus on automated testing (unit, integration, UI) using frameworks such as JUnit, Jest, Selenium, Cucumber Studio, and Allure. Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline (or equivalent industry experience). Desirable Experience in automated fare collection systems, including interaction with contactless EMV bank cards, ITSO, and other closed loop ticketing schemes. Knowledge of real time passenger information (RTPI) infrastructure, including on vehicle hardware and display systems. Familiarity with the Atlassian suite, including Jira and Confluence. Personal Attributes Essential Strong critical thinking and proactive problem solving skills Clear and confident communicator, both written and verbal Composed and resilient under pressure Supportive team player with mentoring capability Committed to continuous learning and professional growth Demonstrates integrity, accountability, and reliability Organised with effective time management skills Besides the opportunity to work for a global company that is customer and people focused, we offer: A focus on learning and development A great team of like minded professionals Private Healthcare Income Protection Scheme Pension Group Life Assurance Cycle to Work Scheme Electric Car Benefit Scheme Employee Assistance Programme Eyecare and Optometry Vouchers Sounds good? Then apply now. Get on board today! Add your resume and anything else to showcase why you would be a great addition to our team.We regret that this position is only available for UK citizens/Residents with indefinite leave to remain in the UK, with current full time work rights for the United Kingdom, currently residing in the UK. No recruitment agencies, please! We won't accept any introductions. Vix Technology is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all people and want to build a workforce as diverse as the community we serve. We aim to have a work environment where everyone feels included and everyone can realise their full potential.

Senior Radar Analyst Location: Enfield (Hybrid Working) Salary: Up to £65,000 Clearance: SC or eligible for SC We are supporting a leading engineering and technology organisation in the search for a Senior Radar Analyst to join their growing team in Enfield. This position sits within a specialist research and development function and offers the opportunity to play a key role in the design and analysis of next generation radar systems. The Role You will be responsible for delivering high quality analysis of radar and radar related systems. Working closely with hardware, software and wider R&D teams, you will develop mathematical models, contribute to new system concepts and support the full design and validation lifecycle. This role will suit someone who enjoys technical depth, problem solving and working collaboratively within a high performing engineering environment. Key Responsibilities: Develop mathematical models for radar and radar sub systems using tools such as MATLAB, Simulink and Mathcad Support the creation of new radar system concepts and modelling of future system performance Provide design data to hardware and software teams Assist in hardware and software validation activities Produce detailed specifications to guide equipment development Analyse radar performance including trials data and prepare reports for internal and external stakeholders Design and develop digital signal processing algorithms Liaise with suppliers to ensure technical criteria are met Lead elements of new radar system development Prepare and present technical papers to customers and external organisations UK and occasional overseas travel will be required Essential Skills and Experience: Bachelor's or Master's degree in a relevant engineering or scientific discipline Strong experience with MATLAB and digital signal processing Background in radar or similar technical domains such as sonar, image processing or communications Proven track record delivering analysis and design tasks on time and within budget Strong communication skills and the ability to work effectively within a team Desirable Experience Knowledge of pulse compression, Doppler filtering, CFAR and detection Experience with radar video or image processing, plot extraction or tracking Understanding of phased array radar Exposure to embedded software, Linux or FPGA development Knowledge of RF, antennas or radar electronics Systems engineering or R&D background including papers or patents Comfortable with hardware test and debug using lab equipment Experience with tools such as git or JIRA Skills in other programming languages including Python or C or C++ If you are interested in contributing to advanced radar technology and want a role that offers both technical challenge and long term development, we would like to hear from you.