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Lead AI

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About Us

Augura Space

is a
deep-tech start-up incubated at Inria Start-up Studio

, specialized in
Space Weather Intelligence

and
AI applied to critical systems

.

Our mission:
help space, aviation, and ground operators anticipate the impacts of solar storms

through reliable and sovereign predictive tools.

After one year of incubation, several
strategic contracts

, a first
operational monitoring platform

, and the
publication of our initial research results

,
Augura Space is now entering its product development phase

— aiming to make its AI models
operational, secure, and deployable

, while continuing to advance its
scientific research and model improvement

.

You will join a rapidly growing company at the intersection of
AI, physics, and software engineering

, collaborating directly with major institutions such as
CNES, ESA, ONERA, and Inria

.

Platform:

Your Role

As
Lead AI & Space Physics Engineer

, you will lead our
science and data engineering team

, responsible for the development and integration of AI models within Augura Space's operational products.

You will play a pivotal role at the crossroads of
research, engineering, and product

, contributing directly to the company's
technological strategy and long-term vision

.

Your main missions

  • Lead and grow the scientific team

(engineers, researchers, interns in AI & data);

  • Design, develop, and operationalize AI models

for forecasting and diagnosing space weather events;

  • Work closely with the product team

to ensure deployment and monitoring of models (CI/CD, APIs, performance tracking);

  • Oversee data management and quality

, including acquisition, processingcleaning, and fusion of satellite and ground-based data;

  • Ensure physical and scientific consistency

of developed models;

  • Contribute to the R&D roadmap

and collaborate with institutional partners;

  • Take part in strategic decisions

involving publications, IP, and long-term technical direction.

Profile

We are looking for a
technical leader

able to combine
scientific rigor, product mindset, and operational focus

, while guiding a growing multidisciplinary team.

Core Skills

  • PhD or equivalent experience in
    Artificial Intelligence, Applied Physics, or Data Science

;

  • Strong command of
    Python

and major
machine learning frameworks

(PyTorch, TensorFlow, JAX, Scikit-learn, etc.);

  • Solid understanding of
    physical modelling

, ideally related to the space environment (plasma, radiation, atmosphere);

  • Experience with
    model deployment

(APIs, data pipelines, cloud environments – AWS, GCP, or equivalent);

  • Good knowledge on
    development, data science and/or machine learning frameworks,

and proficiency in tools such as Git, Hydra, UV, etc.

  • Fluent English

(written and spoken);

  • Ability to bridge
    scientific excellence

with
product-oriented pragmatism

.

Bonus Skills

  • Experience in
    team management or mentoring

;

  • Knowledge of
    application cybersecurity

and secure deployment practices;

  • Relevant
    scientific publications

or open-source contributions;

  • Experience with
    collaborative R&D projects

(ESA, CNES, ONERA, or similar).

Why Join Us?


A deep-tech start-up in acceleration

– at the heart of AI applied to space systems


Strategic position

– leading a growing scientific and technical team


Meaningful mission

– contributing to European sovereignty in space weather intelligence


Product phase

– turning cutting-edge research into operational solutions


Career evolution

– potential growth toward
Head of Science & Engineering / CSO


Competitive compensation

Recruitment Process

  1. Technical interview

– evaluation of AI, modelling, and system design expertise
2. Leadership & vision interview

– discussion about management approach, roadmap, and strategy
3. Final validation

– with founders

Apply

Send your
CV

and
motivation letter

(plus any projects, publications, or GitHub links) to