Software Engineer Robotics Reading Hybrid £55,000pa - £65,000pa plus share scheme & benefits: A once in a lifetime opportunity has arisen for a passionate Robotics Software Engineer to join a stealth robotics company based in the Oxfordshire area. This amazing business and AUV submersible robot have massive potential across a range of different industry sectors. The Robotics Software Engineer will be responsible for the design, development, and integration of advanced software for next-generation underwater unmanned platforms using C++, Python on ROS/ROS2. This role will play a pivotal part in driving control, autonomy, perception, and mission-critical software for submersible robotic systems. If you re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this Robotics Software Engineer role is not to be missed. Candidates must be British Citizens or have lived in the UK for a minimum of 5 years, due to needing SC clearance. Key Responsibilities: Design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware. Integration and selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical). Testing and validation, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments. Collaborate with multidisciplinary teams including systems, mechanical, and electrical engineers to ensure cohesive and reliable system integration. Maintain clear and concise documentation, and manage source control using tools like Git/GitLab. Qualifications: Bachelor's or Master s degree in Robotics , Computer Science, or a related field. 4+ years of experience in embedded systems, robotics software, or unmanned systems development. Strong expertise in C++, Python, and software development for real-time systems. Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware. Experience with embedded software development such as STM32, ESP32, and Arduino. Bonus if you have worked with Pixhawk. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you re passionate about both robotics, in particular autonomous underwater or submersible vehicle and unmanned vehicle industry, and you love software engineering within this space, please get in touch ASAP. MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven t heard back in this time your application has been unsuccessful at this time MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).
06/02/2026
Full time
Software Engineer Robotics Reading Hybrid £55,000pa - £65,000pa plus share scheme & benefits: A once in a lifetime opportunity has arisen for a passionate Robotics Software Engineer to join a stealth robotics company based in the Oxfordshire area. This amazing business and AUV submersible robot have massive potential across a range of different industry sectors. The Robotics Software Engineer will be responsible for the design, development, and integration of advanced software for next-generation underwater unmanned platforms using C++, Python on ROS/ROS2. This role will play a pivotal part in driving control, autonomy, perception, and mission-critical software for submersible robotic systems. If you re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this Robotics Software Engineer role is not to be missed. Candidates must be British Citizens or have lived in the UK for a minimum of 5 years, due to needing SC clearance. Key Responsibilities: Design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware. Integration and selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical). Testing and validation, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments. Collaborate with multidisciplinary teams including systems, mechanical, and electrical engineers to ensure cohesive and reliable system integration. Maintain clear and concise documentation, and manage source control using tools like Git/GitLab. Qualifications: Bachelor's or Master s degree in Robotics , Computer Science, or a related field. 4+ years of experience in embedded systems, robotics software, or unmanned systems development. Strong expertise in C++, Python, and software development for real-time systems. Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware. Experience with embedded software development such as STM32, ESP32, and Arduino. Bonus if you have worked with Pixhawk. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you re passionate about both robotics, in particular autonomous underwater or submersible vehicle and unmanned vehicle industry, and you love software engineering within this space, please get in touch ASAP. MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven t heard back in this time your application has been unsuccessful at this time MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).
Lead Robotics Software Engineer | AUV’s | ROV’s | Harwell – Hybrid | £70,000pa plus share scheme & benefits:
A once in a lifetime opportunity has arisen for a passionate Lead Robotics Software Engineer to join a game changing company who has a pipeline of robotic AUV, ROV & UAV products which are going to be brought into existence and to market in the next couple of years.
If you’re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this one is not to be missed.
MARS is recruiting an experienced Lead Robotics Software Engineer to lead the design, development, and integration of advanced software for next-generation underwater unmanned platforms. This role will play a pivotal part in driving autonomy, perception, and mission-critical software for submersible robotic systems. Candidates must be British Citizens or lived in the UK for 10 years, due to needing SC clearance.
Key Responsibilities:
Lead the architecture, design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware.
Oversee integration of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks.
Guide the implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance.
Direct the development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical).
Drive testing and validation efforts, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments.
Collaborate with multidisciplinary teams—including systems, mechanical, and electrical engineers—to ensure cohesive and reliable system integration.
Maintain clear and concise documentation, and manage source control using tools like Git/GitLab.
Contribute to proposal development, system-level design reviews, and strategic planning related to autonomous systems.
Qualifications:
Bachelor's or Master’s degree in Computer Science, Robotics, or a related field .
8+ years of experience in embedded systems, robotics software, or unmanned systems development.
Strong expertise in C++, Python, and software development for real-time systems.
Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware.
Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience:
Experience in maritime, defence, or subsea robotics industries.
Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments.
Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred.
Background in regulatory or classification compliance for unmanned marine vehicles. If you’re passionate about both robotics, in particular autonomous vehicle and unmanned vehicle industry, and you love software engineering within this space, please get in touch ASAP.
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time
MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)
01/06/2025
Lead Robotics Software Engineer | AUV’s | ROV’s | Harwell – Hybrid | £70,000pa plus share scheme & benefits:
A once in a lifetime opportunity has arisen for a passionate Lead Robotics Software Engineer to join a game changing company who has a pipeline of robotic AUV, ROV & UAV products which are going to be brought into existence and to market in the next couple of years.
If you’re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this one is not to be missed.
MARS is recruiting an experienced Lead Robotics Software Engineer to lead the design, development, and integration of advanced software for next-generation underwater unmanned platforms. This role will play a pivotal part in driving autonomy, perception, and mission-critical software for submersible robotic systems. Candidates must be British Citizens or lived in the UK for 10 years, due to needing SC clearance.
Key Responsibilities:
Lead the architecture, design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware.
Oversee integration of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks.
Guide the implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance.
Direct the development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical).
Drive testing and validation efforts, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments.
Collaborate with multidisciplinary teams—including systems, mechanical, and electrical engineers—to ensure cohesive and reliable system integration.
Maintain clear and concise documentation, and manage source control using tools like Git/GitLab.
Contribute to proposal development, system-level design reviews, and strategic planning related to autonomous systems.
Qualifications:
Bachelor's or Master’s degree in Computer Science, Robotics, or a related field .
8+ years of experience in embedded systems, robotics software, or unmanned systems development.
Strong expertise in C++, Python, and software development for real-time systems.
Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware.
Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience:
Experience in maritime, defence, or subsea robotics industries.
Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments.
Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred.
Background in regulatory or classification compliance for unmanned marine vehicles. If you’re passionate about both robotics, in particular autonomous vehicle and unmanned vehicle industry, and you love software engineering within this space, please get in touch ASAP.
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time
MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)
The Facebook Reality Labs (FRL) organisation at Facebook is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, FRL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.Our Mixed Reality (XR) organization in Zurich is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial , Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR). Computer Vision Engineer Responsibilities: Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product. Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics. Participate in cutting edge research in computer vision that can be applied to AR/VR product development. Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications: BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field. 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems. 3+ years of experience engineering in C++ and/or Python Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation Sensor Fusion Generative models such as GANs Pose estimation: Body, Facial, Hand or Eye Tracking Dense 3D reconstruction Object detection, segmentation and tracking Scene understanding/ Semantic Segmentation Photorealistic rendering Factory, HW, Camera or Online Calibration Preferred Qualifications: MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. 2+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering. Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware) Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs. Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc. Applications and resumes to be submitted in English.
23/09/2022
Full time
The Facebook Reality Labs (FRL) organisation at Facebook is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, FRL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.Our Mixed Reality (XR) organization in Zurich is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial , Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR). Computer Vision Engineer Responsibilities: Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product. Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics. Participate in cutting edge research in computer vision that can be applied to AR/VR product development. Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications: BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field. 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems. 3+ years of experience engineering in C++ and/or Python Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation Sensor Fusion Generative models such as GANs Pose estimation: Body, Facial, Hand or Eye Tracking Dense 3D reconstruction Object detection, segmentation and tracking Scene understanding/ Semantic Segmentation Photorealistic rendering Factory, HW, Camera or Online Calibration Preferred Qualifications: MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. 2+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering. Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware) Background in machine learning with experience in large scale training and evaluation of deep convolutional and/or recurrent neural networks and/or GANs. Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc. Applications and resumes to be submitted in English.
