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Senior Software Engineer

  • Monday, Jul 25, 2022
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London, United Kingdom

Job title

Senior Software Engineer [real-time surgical imaging]

The role

We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage MedTech spin-out to change the future of surgery and play a significant role in shaping the company’s product.

As our Senior Software Engineer, you will define and develop the software foundations of our product development by leveraging an existing software prototype. In particular, you will

  • collaborate with imaging scientists in addition to regulatory and clinical experts
  • be responsible for the design, development and refactoring of our core software infrastructure (C++ and Python bindings) to allow for real-time, low-latency processing and visualisation of hyperspectral video streams
  • facilitate specifying, planning, tracking and scheduling software deliverables
  • design a unified software framework to allow for efficient integration from R&D to product development
  • be a key driver and contributor to implement our medical device product development cycle as part of an ISO 13485 Quality Management System
  • help in the selection, onboarding and mentoring of future software development team members
  • be ready to step in on a variety of tasks (CI/CD, UX, etc.) as required in an early-stage MedTech spin-out environment

At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care.

About us

Hypervision Surgical Ltd is a spin-out company formed from King’s College London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety.

We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical imaging modality perfectly suited for the clinic. By splitting light into multiple wavelengths far beyond what the naked eye can see, HSI carries diagnostic information about tissue properties ideal for objective tissue characterisation. This will objectively enhance the surgeon’s ability to visualise and characterise tissue intraoperatively without injecting any toxic contrast agents. In addition, our system can monitor vital physiological tissue properties, thereby increasing surgical precision and patient safety while optimising resection.

Following successful in-patient clinical studies, we are now working on converting our patent-pending technology into a commercial medical device for surgery.

We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by the British Royal Academy of Engineering, Innovate UK, NIHR (National Institute for Health Research), the Creative Destruction Lab, and King’s Health Partners MedTech Innovations to improve surgical care.

Come make an impact with us and help shape our story.

A bit about you

  • Broad knowledge of software development lifecycle in MedTech including agile development practices
  • Experience in software development as part of an ISO 13485 Quality Management System
  • Experience in planning and leading software projects according to technical, resources and timeline requirements
  • Extensive knowledge of and experience using C++ programming language as well as binding with third party languages such as Python and CUDA
  • Extensive experience in software design, architecture, documentation, testing and engineering
  • Experience with software development mentoring for junior software developers
  • (Desirable) Prior experience in real-time imaging and visualisation applications with insight into multi-threaded, multi-process architectures and interfacing with hardware components
  • Excellent oral and written communication skills
  • Analytical thinker, attentive to details, creative and team player
  • Show a strong sense of creating an inclusive environment (Bonus points if you bring a special talent, interest, new language, or unique life experience to the team)

What we offer

  • We offer an opportunity to work at and shape a MedTech start-up uniquely positioned to develop next-generation technology for surgical guidance.
  • As a King’s College London spin-out and member of the King’s MedTech ecosystem, we have key access to crucial resources for R&D and product development for surgery, including access to hospitals, a mock operating room, lab spaces, and computational facilities.
  • A 2-year clinical neurosurgery study is currently underway, with its phase 1 study having finished in July: Your work will directly impact the experiments we run and the product we build.
  • Building on a highly multidisciplinary background (surgeons, computer scientists, mathematicians, biomedical engineers, regulatory affairs specialists, and KOLs for surgical healthcare technology) our team consists of world-leading experts in machine learning / AI for medical imaging, interventional imaging and medical devices for surgical guidance.
  • Our stellar advisory board includes serial entrepreneurs for MedTech companies in surgery and surgical robotics, in addition to VC investors. You will work closely with thought leaders in healthcare engineering to develop and scale an early-stage MedTech start-up.
  • We pride ourselves on an environment at the intersection between industry, academia and hospitals that cultivates curiosity, creativity and autonomy to develop innovative technologies for the patient and public benefit.
  • We offer flexible working arrangements, including flexible hours and remote working.
  • We are committed to growing our employees and offering equal opportunities for advancement.

Apply

To apply, send your CV and Cover Letter to [email protected]. Detail how your knowledge, skills, and abilities meet the job requirements.