会社紹介

Axelspaceは、「Space within Your Reach 〜宇宙を普通の場所に〜」というビジョンの元、2008年の設立以来磨き上げてきた独自の小型衛星技術によって、多くの人が当たり前のように宇宙を利用する社会の実現を目指しています。
2019年より開始したAxelGlobe事業では、多数の衛星を打ち上げて地球を高頻度でモニタリングしていく新しいインフラを提供しており、2019年に打ち上げた衛星1機に加えて、2021年には日本初の量産衛星4機の打ち上げに成功し、現在は5機の地球観測衛星コンステレーションを運用し、2〜3日に1度の頻度で一度に55km〜幅の画像を撮影し、データやソリューションを提供しています。
また、祖業である専用衛星事業をより使いやすく発展させ、2022年に発表した「AxelLiner」では、お客様の宇宙・衛星ビジネスの早期実現のための衛星開発・運用等をワンストップで提供しており、2024年には実証機初号機「PYXIS」を打ち上げ、これまでの開発・運用実績は11機となりました。

2022年には第22回JAPAN VENTURE AWARDSにて最高賞である経済産業大臣賞を受賞、2024年には「Technology Fast 50 2023 Japan」に選出されました。

Axelspaceでは、常に向上心を持ち、チームと本気で向き合い共に成長を目指し、多様性と変化を受け入れ、前向きに挑戦を重ねるメンバーが集まっています。 本格的な衛星・衛星画像利用の普及や促進が加速していく中で、当社のビジョンに共感し、衛星開発・衛星画像利用の普及や促進にコミットして頂ける方は、是非この魅力あふれるチームにジョインしてください。 皆様からのご応募を、社員一同お待ちしています！

【3分でわかるアクセルスペースの歴史】

Company Introduction

Since our founding in 2008, Axelspace has been driven by the vision “Space within Your Reach.” We have continuously refined our unique micro-satellite technology with the goal of democratizing space technology to a wider population across the globe.

AxelGlobe started in 2019 to provide a new Earth observation infrastructure by launching multiple micro-satellites for its higher data frequency. In addition to a satellite launched in 2019, we have successfully launched Japan’s first four mass-produced satellites in 2021. We are currently operating a constellation of five Earth observation satellites, capturing images with a 55 km swath every 2 to 3 days, and providing data and solutions.

Building on our experience with our dedicated satellite business, we launched AxelLiner in 2022 to provide a one-stop service for satellite development and operation, helping customers quickly actualize their satellite business. In 2024, we launched our first demonstration satellite, “PYXIS,” bringing our total number of developed and operated satellites to 11.

Additionally, we received the highest award, the Minister of Economy, Trade and Industry Award at the 22nd JAPAN VENTURE AWARDS in 2022, and was selected as part of “Technology Fast 50 2023 Japan” in 2023.

As the world faces pivotal stages in democratizing satellite development and satellite imagery use, we are actively looking for talented individuals who can enjoy the challenges to make a global impact with micro-satellite technology. Hit that apply button and let’s make our vision come true together!

【History of Axelspace in 3 minutes】

Job Description

About the Role

The successful candidate will be a member of the team responsible for developing analytics solutions using earth observation data, to be integrated into the AxelGlobe platform and/or other client products.

Prior experience in earth observation is not required; candidates with strong backgrounds in computer vision, machine learning, or data science are highly encouraged to apply.

Job Responsibilities

• Building full-stack analysis solutions using earth observation data (optical satellite imagery, weather data, radar measurements, etc.)
  • Research and prototype data processing & analysis algorithms.
  • Develop and deploy data pipelines.
• Working closely with the business team on developing new solutions to practical problems.

Mandatory Requirements

• 3+ years of hands-on experience in image processing within the computer vision domain, including tasks such as classification, regression, segmentation, object detection, and time series analysis.
• Implementing machine‑learning models/algorithms for real‑world problems (beyond basic library‑only use), and hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Building and operating image‑data pipelines/MLOps.
• Experience with standard tools and practices of collaborative software development: writing maintainable code, version control (git), code review, testing (e.g., pytest), containers (Docker), CI/CD tools.
• Strong problem-solving and analytical thinking skills.
• Ability to conduct technical discussions in English.

Favorable Skills / Experiences

• 2+ years of professional or research experience in earth observation data processing.
• Experience with the following GIS libraries/tools (or equivalents): GDAL, Rasterio, Geopandas, Shapely.
• Familiarity with AWS services and infrastructure-as-code tools such as Terraform.
• MSc or PhD in a relevant computational field (Computer Science, Remote Sensing, Physics, etc.)
• Deep knowledge of statistics.
• First‑author experience in peer‑reviewed publications.
• Business-level proficiency in Japanese.
• Interest in the space industry, curiosity about other aspects of satellite operations, and openness to cross-team collaboration.