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WHAT WE DO

Every day we face interesting challenges:
  • We build state-of-the-art perception software to enable the next generation of autonomous driving
  • We bring safety-critical Deep Learning systems into production
  • We leverage data from all over the world for our models to learn
  • We contribute to the complete development cycle from exploratory research to your next vehicle
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WHAT WE CARE ABOUT

  • Making roads safer
  • Working with industry-leading partners with an open-minded culture
  • The opportunity to grow and unlock our full potential
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Trusted by forward thinking partners

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OUR TEAM

Sebastian Foto

SEBASTIAN RAMOS

CEO

Dancing to the music of life with rhythms of entrepreneurship, tech, philosophy, triathlons, family, and friends

Martin

MARTIN BUCHHOLZ

COO

For years an expert in high performance computing, now working to get the highest performance on his teams, chocolate and cooking. In exactly that order of relevance

Peter Pinggera

PETER PINGGERA

Tech Lead and Product Owner

Legend has it he’s worked in computer vision even before deep learning was cool. Now guiding our team’s efforts of getting advanced neural networks on the road for safer driving. Also: Coffee.

Amir Shahvarani

AMIR SHAHVARANI

Software Engineer

A passionate software engineer with great interest in performance optimization

Tama McGlinn

TAMATEA MCGLINN

Software Engineer

c++ beast ;

Wangxin Liu

WANGXIN LIU

Deep Learning Engineer

Deep learning engineer, but also a teacher for neural networks. Carefully picks the materials for the neural networks to learn and makes the manifold smooth for them to walk on. “I never teach my pupils, I only attempt to provide the conditions in which they can learn.” – Albert Einstein

Gökberk Gül

GÖKBERK GÜL

Deep Learning Engineer

Happy to be working on the coolest subject of the century yet (as far as engineering degree allows). Competitive music listener, mediocre guitar player, will talk about politics if you give him enough beer

Jamie Tattersall

JAMIE TATTERSALL

Deep Learning Engineer

A particle physicist in a previous life, now making a living trying to make neural networks run as fast as possible

Armin Stangl

ARMIN STANGL

Deep Learning Engineer

Former search tree horticulturist and strong believer in belief functions; now making a living as a plastic surgeon for neural networks.

Arvid Wartenberg

ARVID WARTENBERG

Deep Learning Engineer

Living by the principle “Call me a loss function fiddler all you want – but fiddle I will!”- Arvid, 2022.

Nikos Mitsou

NIKOS MITSOU

Deep Learning Engineer

Nikos is a great software engineer too humble to talk about himself for more than 101 characters

Pavel Lutskov

PAVEL LUTSKOV

Deep Learning Engineer

Deep learning genius, code ultimate ninja, all he does ends up being very good, very nice.

Dominik Zech

DOMINIK ZECH

Deep Learning Engineer

With a background in Sensor Fusion now taking on new adventures in DeepLearning. On the contrary, there is a life with more than 0s and 1s.

German Diez

GERMAN DIEZ

Deep Learning Engineer

Passionate about data centered ML. He can mine all the data your model needs. Favorite quote: “if you torture the data long enough, it will confess to anything” – Ronald Coase

Lukas Liebel

LUKAS LIEBEL

Deep Learning Engineer

Specializing in multi-task (deep) learning: Currently finishing his Ph.D., improving his running, cycling, archery, keeping-plants-alive, and bass guitar skills – simultaneously!!

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CONTACT

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    We are hiring!

    Contact us if you are interested in joining our team working on production Deep Learning for the automotive industry. The following skills are very valuable for us:

    Deep Learning in all facets

    Data engineering

    MLOps

    C++ for networks deployment

    Algorithm optimization expert

    If you are interested, send us an email at

    Tensoreye GmBH
    Schleißheimerstr. 2, 80333 München
    Handelsregister: 256408. Registergericht: München
    Juan Sebastian Ramos Pachon, Martin Buchholz
    Telefon: 0049 173 5758 152 E-Mail: info@tensoreye.de
    Umsatzsteuer-Identifikationsnummer: DE330020773