Imaging Systems Engineer

About Hypervision Surgical

Hypervision Surgical ("Hypervision") is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety.

We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision.

Certified for both open and minimally invasive surgery, our platform achieved UKCA certification and FDA clearance in 2025 under a newly established AI/ML product code, and was admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnerships with world-leading technology and surgical manufactures, including imec and ZEISS Ventures, Hypervision is shaping the future of data-driven surgery.

Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice.

The Role

We areseekinga curious,hands-onand motivated individual to join us as ourImagingSystemsEngineer,toplay a key role in the development, validation, and deployment of our surgical vision platform, spanning benchtop experimentation, data acquisition, system validation, and real-world system support.

In this role, you will work at the intersection of optical imaging, instrumentation, and scientific software, supporting system validation and ensuring that our cameras, scopes, and accessories are characterised, calibrated, andvalidatedto the standardsrequiredfor surgical use. You will contribute to the design and execution of experiments for system-level characterisation, alongside the acquisition of high-quality reference datasets to support algorithm development and performance benchmarking. A particular focus of your work will be characterising the spectral performance and image quality of our surgical vision system. In addition, you will help translate benchtop performance into real-world settings by supporting system deployment, troubleshooting, and technical interactions with clinical and external partners.

Working closely with ourresearchscientistsandsystem integration engineers, you will plan and executebenchtop experiments, build theautomation that makes those experimentsrobust andrepeatable, and produce the analyses that turn raw measurements into actionable engineering decisions.

Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting bothongoing maintenance of deployedclinicalsystemsand thedevelopment of next-generation hardware.You will contribute to the technical records and performance baselines that underpin our regulatory submissions and post-market surveillance activities.

Key Responsibilities

Optical& SpectralCharacterisation

Plan, set up, and execute optical and imaging benchtop tests for new camera platforms, light sources, scopes, and accessories.

Collect opticaland spectralperformance data andproduce theanalyses to interpret them, referencing definedperformance metrics and acceptance criteria.

Maintainaccurateand up-to-date technical documentation of benchtop procedures, characterisation results, andcomponentperformance baselines, to the standardrequiredfor regulatory submissions.

Acquisition Automation & Integration

Design and implement automated data-acquisition routines in Python (or similar) for repeatable benchtop and integration testing, including scripted control of cameras, light sources, motion stages, and spectrometers via their respective hardware interfaces and SDKs.

Develop andmaintainscripts that linkmultiple instrumentsinto reproducible, well-documentedmeasurement workflows.

Contribute to internal tooling that lowers the friction of routine characterisation, calibration,maintenance, and verification work across the team.

Calibration & Maintenance Cycle

Take ownership of routine calibration,maintenanceandquality controlacrossdeployed clinical systems, including management of calibration schedules, traceability to reference standards, and clear pass/fail records.

Support the development and formalisation of calibration and maintenance procedures as the number of deployed systems grows.

Investigateanomalies and perform root-cause analysis on imaging performance issuesidentifiedin the lab or in the field.

Cross-Functional Collaboration

Work closelywithresearchscientists,system integration engineers, software developers,clinical applicationspecialistsandtheclinical development team members tobringlearnings from the bench into product and pipeline improvements.

Translate findings from characterisation and testing into clear, actionable input for engineering and product decisions.

Contribute to test documentation andevidencepackages in support of verification, validation, and regulatory submissions.

About You

You are ahands-on, methodical engineerwho enjoys workingin thelab,assemblingoptics-basedrigsand writingscriptsthat makes lab work repeatable. You are comfortable bridging hardware and software, enjoyingwiring up instrumentation, scripting acquisition pipelines, and analysing the resulting data.

You take pride inwell-characterised systems, well-documented procedures, and measurements that other people can rely on,including in regulated contexts where the quality of your records matters as much as the quality of your data.

Youbring:

BSc or MSc(with strong practical experience)in Physics, Optics,Biomedical Engineering, Electrical Engineering, or a related technical discipline

Hands-on experience with optical imaging systems and optics-bench measurements, including spectral and transmission characterisation, gain and exposure characterisation, and resolution or image qualityassessment.

Experience working with image and video data, including basic processing, quality assessment, and debugging of imagingpipelines.

Comfortableinteracting with clinicians, customers, or external partners to diagnose issues and translate them into engineering improvements

Proficiencyin Python (or similar) for instrument control, benchtop automation, and data analysis usingscientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols

Comfortable bridging hardware and software - wiring up cameras, light sources, and motion control to scripted acquisition pipelines

Strong attention to detail and a methodical, documentation-first approach to lab work

Excellent oral and written communication skills

Analytical thinker, attentive to details, creative andateam player

Desirable:

Experience working with hyperspectral, multispectral, or other scientific imaging cameras, including spectral and per-band performance characterisation

Experience working in a regulated industry, preferably MedTech,includingfamiliarity with ISO 13485-compliant laboratory practice

Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets

Bonus points if you bring a special talent, interest, language, or unique life experience to the team.

What We Offer

The opportunity to make a direct contribution to patient care and deliver real-world surgical impact

Access tostate-of-the-artsurgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with officeslocatedat the London Institute for Healthcare Engineering

Competitive salary

Equity participation via share option scheme

25 days of annual leave plus bank holidays

Hybrid working arrangements, tailored with your manager to suit the needs of the role

Employee Assistance Programme for wellbeing, legal, and financial support

Cycle to Work Scheme and Workplace Nursery Benefits

£150 annual tech stipend for productivity and office essentials

Complimentary office snacks and drinks

Monthly team socials in an inclusive, collaborative culture