With Ludeo (formerly Edge) you can share your game moments as content that others can play. instead of just watch.Ludeo’s proprietary technology allows everyone to participate in each other's virtual moments (called Playables). Gamers and creators clip their most exciting moments in the game, share them, and others can actually play them, to create their own playables and experiences.Ludeo was founded by brothers Asaf and Omri Gazit in 2021 and is dedicated to building the next generation of media content.

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Computer Vision Software Engineer, London

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Niantic's AR Mapping team seeks a Computer Vision Software Engineer to build 3D world maps for their real-world Metaverse.  Responsibilities include designing, developing, and maintaining production computer vision systems to enhance AR capabilities, collaborating with cross-functional teams to deliver solutions, optimizing system complexity and time, writing high-performance code, and working with the research team to innovate in AR. The role involves working on solutions that will be used by millions.  The ideal candidate will have a Master's degree (or equivalent) in a related field and experience in production code (C++), computer vision, and machine learning.  In-office work is required two days a week (Tuesdays and Thursdays).

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<div class="job__description body"><div>Niantic’s Augmented Reality (AR) Mapping team seeks a Computer Vision Software Engineer to help build the 3D world maps that are the foundation for Niantic’s real world Metaverse and push the frontiers of Computer Vision and Machine Learning.
We are building the VPS and visual maps that help develop AR experiences to “inspire people to explore the world together”.
We’re a highly collaborative and engaging team, working to help algorithms evolve from concept to production at scale, and this is your chance to join us in our journey to map the world. We are all passionate about innovation, so we’re looking for engineers who want to learn and ship products that will be used by millions of developers and users.
<h3>Responsibilities</h3>
<ul>
<li>Design, develop and maintain production computer vision systems that are used to improve Niantic’s AR capabilities for the delight of our users.</li>
<li>Collaborate multi-functionally with products, operations and other engineering teams to ship state-of-the art computer vision solutions to enable new AR experiences.</li>
<li>Optimize complexity and time of solutions to make the best use of current technologies in cloud and/or mobile.</li>
<li>Write high performance code, debug solutions to complex problems that span systems, prioritize tasks effectively, and efficiently to meet agreed timelines.</li>
<li>Work with Niantic’s research team to invent, evaluate and help productionise solutions to push the boundaries of what can be done today in AR.</li>
<li>Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.</li>
<li>Required in-office 2 days on Tuesday and Thursday.</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>Master-level qualification in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.</li>
<li>Experience writing production code in C++.</li>
<li>Solid understanding of computer vision, machine learning or similar concepts.</li>
<li>Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.&nbsp;</li>
<li>Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.</li>
</ul>
<h3>Plus If…</h3>
<ul>
<li>PhD-level qualification in Computer Science, Electrical Engineering, mathematics, or a related field, or equivalent practical experience.</li>
<li>Demonstrated ability developing algorithms for image processing, computer vision or similar endeavors.</li>
<li>Experience implementing, hardening or optimizing 3d gaussian splatting, dense depth computation, multi-view reconstruction or other problems in 3D computer vision.</li>
</ul>
The total compensation package for this position includes a new hire offer base salary range of £87,300.00-£126,000.00 + bonus + equity + benefits.
Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.
<h3>Join the Niantic team!</h3>
Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.
We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.
Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.
We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich. #LI-HYBRID</div></div>

C++ SDK Engineer for Unreal Engine, building plugins for AAA games.

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 About Ludeo Ludeo is a hyper-growth startup in the gaming industry that is revolutionizing the way players discover and engage with games. Now and for the first time, gamers can share their most thrilling gameplay moments with everyone and everywhere and allow others to PLAY them, not only watch them as video clips. Ludeo’s vision is to become the world’s first playable social media platform for gamers where they can frictionlessly discover gaming content. About The Role We are looking for a talented Game SDK Engineer (C++) to join our Game SDK team. In this position, you will be a part of our SDK team, collaborating with game developers, to build SDK for Unreal that will allow games to seamlessly connect into the Ludeo platform. What You'll Do <ul><li>Design, develop, and maintain robust and efficient C++ SDK for AAA games.</li><li>Build plugins for several game engines (e.g. Unreal, Proprietary) </li><li>Collaborate with game studios and Co-Developers to introduce functionality specifics for their game engines</li><li>Implement new features taking into account ease of integration, performance, and scalability</li><li>Mentor, pair, and delegate work to encourage the professional and technical growth of those around you </li></ul>
Requirements: Requirements <ul><li>Strong proficiency in C++ (5+ years), including modern C++ standards (C++17/20/23). (Must)</li><li>Experience building Unreal plugins, game development (Advantage)</li><li>Experience C# development in Unity (Advantage)</li><li>3D Rendering and Graphics API (Advantage)</li><li>Strong communication skills and ability to work collaboratively in a team environment.</li><li>Ability to develop strong relationships with stakeholders, while working remotely.</li><li>Ability to produce high quality internal documentation and share knowledge effectively.</li></ul>

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