Senior Research Engineer – Mapping and Localization

Job title:

Senior Analysis Engineer – Mapping and Localization

Firm

NavLive Restricted

Job description

NavLive is a spin-out from the College of Oxford, backed by award-winning know-how and algorithms. We’re creating real-time spatial AI options for the development and geospatial industries.We use real-time multi-sensor fusion and high-precision positioning know-how to construct 3D fashions of indoor and out of doors environments in real-time. Our tech can infer what has modified and supply insights to facility homeowners or web site decision-makers. We wish to recruit a senior analysis engineer to assist us develop our merchandise and execute R&D initiatives with companions within the above-mentioned sectors.Are you curious about becoming a member of a quickly rising start-up to develop superior know-how which can revolutionise how corporations monitor their property, make choices and measure the actual world?DutiesYour function as a Senior Analysis Engineer will contain:

• Growing and enhancing 3D localisation and mapping algorithms and associated functions (change detection, place recognition, semantic segmentation).
• Writing software program in C++ and Python and dealing in knowledgeable software program code base with steady software program integration, code critiques and unit testing.
• Understanding priorities for our purchasers and the corporate to develop new options and long-term capabilities.
• To collaborate with our colleagues who’ve a broad vary of experience – from {hardware} engineers to UI designers.
• Main area trials and information assortment with our cell robots and handheld gadgets.
• Offering your individual opinions and perspective to form the expansion of the corporate. Becoming a member of our early-stage start-up firm is a singular alternative to impression a fast-moving deep-tech start-up.

NecessitiesKey necessities for this function:

• Expertise creating simultaneous localization and mapping (SLAM) on robots, autos or sensor methods.
• Skilled or analysis expertise with C++, Python and ROS within the context of robotics and cell sensing – with demonstrations of those expertise.
• Expertise working with cell robotics and sensors resembling lidar, imaginative and prescient, GPS and IMUs.
• Deep understanding of algorithms and instruments for Spatial AI resembling nonlinear optimization (GTSAM, Ceres), coaching neural networks for place recognition, and 3D reconstruction strategies (meshes, NeRF).
• A PhD within the area of robotic notion and SLAM or related industrial expertise. Additional expertise working in trade is fascinating.

The next are fascinating expertise and traits:

• Expertise working with 3D (constructing) fashions and information flows round 3D and Geospatial information (or curiosity in studying)
• Expertise within the structure or building industries.

AdvantagesAdvantagesFor the profitable candidate, we will supply:

• 20 days of paid annual go away plus 8 financial institution holidays
• Wage pension trade scheme
• A dynamic fast-moving work surroundings based mostly in central Oxford
• On-the-job coaching in cutting-edge robotics and AI
• Full help for relocation prices together with visa sponsorship, as required
• Annual efficiency and wage evaluate
• Worker share choices

FlexibilityWhereas this function would require some on-site and in-person time, a lot of what we do is structured for hybrid work. We extra extremely worth wonderful work – moderately than an on-site work surroundings.This function assumes a typical 37.5 working week centred round a set of core working hours however we will supply additional flexibility for candidates with particular constraints.Range and InclusionOur firm thrives on numerous inputs from individuals of various backgrounds, skillset and factors of view. We embrace individuality and goal to supply the pliability demanded by the trendy digital workforce.Connecting bodily to digital.Actual-time options for the development trade.NavLive Restricted

Anticipated wage

£55000 – 65000 per 12 months

Location

Oxford

Job date

Tue, 12 Mar 2024 23:34:27 GMT

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