Snabbfakta
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- Oxford
Ansök senast: 2024-06-15
Senior Research Engineer - Mapping and Localization
NavLive is a spinout from the University ofOxford backed by awardwinning technology and algorithms. We aredeveloping realtime spatial AI solutions for the construction andgeospatial industries.
We use realtimemultisensor fusion and highprecision positioning technology tobuild 3D models of indoor and outdoor environments in realtime. Ourtech can infer what has changed and provide insights to facilityowners or site decisionmakers. We want to recruit a senior researchengineer to help us develop our products and execute R&Dprojects with partners in the abovementionedsectors.
Are you interested in joining a rapidlygrowing startup to develop advanced technology which willrevolutionise how companies monitor their assets make decisions andmeasure the realworld
Tasks
Yourrole as a Senior Research Engineer willinvolve:
- Developing andimproving 3D localisation and mapping algorithms and relatedapplications (change detection place recognition semanticsegmentation).
- Writing software in C and Pythonand working in a professional software code base with continuoussoftware integration code reviews and unittesting.
- Understanding priorities for ourclients and the company to develop new features and longtermcapabilities.
- To collaborate with ourcolleagues who have a broad range of expertise from hardwareengineers to UI designers.
- Leading field trialsand data collection with our mobile robots and handhelddevices.
- Providing your own opinions andperspective to shape the growth of the company. Joining ourearlystage startup company is a unique opportunity to impact afastmoving deeptechstartup.
Requirements
Keyrequirements for thisrole:
- Experiencedeveloping simultaneous localization and mapping (SLAM) on robotsvehicles or sensor systems.
- Professional orresearch experience with C Python and ROS in the context ofrobotics and mobile sensing with demonstrations of theseskills.
- Experience working with mobile roboticsand sensors such as lidar vision GPS andIMUs.
- Deep understanding of algorithms andtools for Spatial AI such as nonlinear optimization (GTSAM Ceres)training neural networks for place recognition and 3Dreconstruction techniques (meshes NeRF).
- A PhDin the field of robotic perception and SLAM or similar industrialexperience. Further experience working in industry isdesirable.
Thefollowing are desirable skills andtraits:
- Experienceworking with 3D (building) models and data flows around 3D andGeospatial data (or interest inlearning)
- Experience in the architecture orconstructionindustries.
Benefits
Benefits
Forthe successful candidate we canoffer:
- 20 days of paidannual leave plus 8 bank holidays
- Salarypension exchange scheme
- A dynamic fastmovingwork environment based in centralOxford
- Onthejob training in cuttingedgerobotics and AI
- Full support for relocationcosts including visa sponsorship asrequired
- Annual performance and salaryreview
- Employee shareoptions
Flexibility
Whilethis role will require some onsite and inperson time much of whatwe do is structured for hybrid work. We more highly value excellentwork rather than an onsite work environment.
Thisrole assumes a typical 37.5 working week centred around a set ofcore working hours but we can offer extra flexibility forcandidates with specificconstraints.
Diversity andInclusion
Our company thrives ondiverse inputs from people of different backgrounds skillset andpoints of view. We embrace individuality and aim to offer theflexibility demanded by the modern digitalworkforce.
Connecting physical todigital.
Realtime solutions for the constructionindustry.
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