Space Science

Reporting to Head of Procurement and working closely with Site Operations, Construction and Launch Operations, you’ll lead the planning and implementation of our logistics strategy across the business. You will coordinate shipments from domestic and international logistics providers as well as scope, tender and manage these contracts. You will be expediting high value and critical deliveries that are essential to the success of our clients’ launches.

Reporting to GM Arnhem Space Centre & Engineering and working closely with Site Operations and Construction, you’ll lead the engineering design for the ongoing development of ELA’s Arnhem Space Centre. You will work closely with the Launch Team to understand requirements and ensure seamless facilities support for Launch Operations. You will also prepare scoping and specifications documentation for external engineering providers, develop ELA’s facilities engineering standards, processes, and capabilities and provide SME engineering discipline support across the business. All of this integral to support the development process for Arnhem Space Centre’s Phase 2 Master Plan.

Reporting to GM Arnhem Space Centre & Engineering and working closely with Site Operations, Engineering & Procurement, you’ll lead the planning and execution of fabrication, construction and site works for the ongoing development of ELA’s Arnhem Space Centre. You will work closely with stakeholders across the business to ensure a fit-for-purpose approach is carried through from concept to implementation.

In this role you will support the engineering design for the ongoing development of ELA’s Arnhem Space Centre. This will see you build the 3D model of our current facilities and develop it to support the Phase 2 Master Plan. You will also work across the business to provide mapping, modelling, and drafting expertise as required to support planning, development, and implementation.

The main engineering task in SpaceKnow is developing and operating a Kubernetes-native highly scalable analytics platform. If you are interested in designing and operating highly available Kubernetes clusters, you pride yourself in having robust monitoring and logging set-up in your clusters and you are not afraid of getting your hands dirty with low level issues. Join a team of motivated engineers working on cutting edge solutions that (literally) influence the world.

SpaceKnow provides cutting-edge, highly accurate and reliable strategic and operational analysis over areas of interests, theaters of operations and critical infrastructure. We can precisely classify diverse and large numbers of specific military equipment and installations, detect important changes and monitor activity over vast areas of interests. We are looking for an experienced Product Manager who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Join a team of passionate Pythonistas and build systems like no one has ever done before! We are looking for talented people rather than having specific requirements (Python, Java, C#, C++ or similar). Our daily bread is designing APIs, and improving scalability, security and stability of the platform. All backend systems are accessible via RESTful APIs, hosted on Google Cloud Platform and written in Python.

Join a team of passionate Data Scientists to advance the state of the art in novel machine learning approaches and data science tools for processing satellite images. You should have a proven track record of creatively solving difficult problems and you should enjoy spending your time writing code and producing results. Having an experience with big data analysis, image processing, deep neural networks and cloud computation is a great plus.

SpaceKnow has two distinct products: a web-based, on-demand geospatial analytics platform (also available through API), as well as a growing suite of economic index offerings. Join a team of passionate Machine Learning Engineers to advance the state of the art in novel machine learning approaches and data science tools for processing satellite images! You should have a proven track record of creatively solving difficult problems and you should enjoy spending your time writing code and producing results. Have experience with big data analysis, image processing, deep neural networks and cloud computation is a great plus.

SpaceKnow provides cutting-edge, highly accurate and reliable strategic and operational analysis over areas of interests, theaters of operations and critical infrastructure. We can precisely classify diverse and large numbers of specific military equipment and installations, detect important changes and monitor activity over vast areas of interests. We are looking for a Customer Delivery Specialist who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

We are looking for a Content Writer to Volunteer with our editorial team remotely and enrich our websites with new educational and industry events related blog posts. Content Writer responsibilities include conducting thorough research on industry-related topics and news, generating ideas for new content types and proofreading articles before publication. If you are driven by passion towards the space industry, are familiar with producing online content and have an eye for detail, we’d like to meet you. Feel free to share samples of your work or portfolio of your published articles, along with your application. Ultimately, you’ll deliver quality writing pieces that educate or update the audience on recent news in the industry.

We are looking for a versatile Machine Learning Engineer to take part in developing groundbreaking technologies for autonomous rendezvous, formation flying, and proximity operations of space systems. This particular position is a blend of machine learning, data engineering, statistics, and signal processing. This role calls for an engineer with experience working with vehicle telemetry, implementing trend detection algorithms, filters, correlations, regressions, identifying distributions, and performing system identification using Python, on Linux Environments. You will report to the CTO and interact permanently with the rest of the tech team. This position will give you autonomy and the opportunity to work on a very ambitious project, where working code will always preempt meetings and PowerPoint slides.