RAPID PROTOTYPING
FOR COMPLEX SPACE SYSTEMS

Intellectual Property Development

We aspire to drive new growth by developing IP through our aiLabs program. The innovations produced within aiLabs allows a.i. solutions to achieve technical superiority, establish new customers, and expand our current services based on profitable customer relationships. We believe that a healthy pipeline of IP initiatives is critical to our growth strategy as it allows us to rapidly respond to challenges that we had not previously identified.

aiLabs Philosophy

Our aiLabs philosophy is to take a modular based approach to development. We establish clean lines of interface so that technologies deployed in one module can be reused in another. This results in a library of active+ modules available for use by the development and integration teams which reduces re-work. The ideas for these modules are derived from multiple sources, including:

  • Staff expertise gained through experience and research of approaches utilized across the aerospace industry as well as technologies successfully leveraged in other industries
  • Collaboration with staff implementing other aiLabs modules
innovation team at aiLabs developing Rapid Prototyping for Complex Space Systems

Real Example: Testing Terrain Relative Navigation in a Lunar Descent Trajectory

At a.i. solutions, our exclusive approach combines the latest hardware with crucial aspects of industry-leading flight dynamics simulators, high-performance computers, and artificial intelligence to provide data-driven answers for the questions related to your mission.

The environments simulated by these factors and overseen by our spaceflight analysis experts allow us to create realistic scenarios to provide you with real-time data without ever launching your spacecraft. No matter your mission, we can make it happen by arming you with data so you are “go” for launch.

aiLABS OPEN POSITIONS

Title: Astrodynamicist
Description:

The role of this job is help lead the building astrodynamics tools for the next generation of exploration in cislunar space. These tools will facilitate trajectory design, space domain awareness, and orbit determination specifically in the cislunar regime.

– Must have an understanding of multi-body dynamics

– Must understand computation of periodic orbits in three-body problem

– Must be familiar with numerical integration and differential correction/optimization

– Previous experience implementing cislunar trajectory design tools desired

Title: Software Engineer
Description:

The role of this job is to create algorithm interface tooling for the next generation of deep space exploration. These tools will be used to create a networked ecosystem of cislunar space analysis and processing.

– Must have experience in Java, C#, Python, Node/TypeScript, or a similar programming language

– Must understand computation of periodic orbits in three-body problem

– Must be familiar with common network concepts such as REST, websockets, network data bus concepts, unix sockets, etc.

– Must be familiar with developing for Linux operating systems

Title: Aerospace Engineer
Description:

The role of this job is to aid in building aspects of a cislunar flight dynamics tool set. These tools will be specifically to aid in trajectory design, space domain awareness, and orbit determination for cislunar space.

– Must understand orbit mechanics concepts, familiarity with three-body mechanics preferred

– Preferred experience with Freeflyer and/or other astrodynamics tools

– Previous experience with C++, Julia, Python, and/or Matlab preferred

– Must have previous experience developing flight dynamics or mission analysis tools.

Title: Aerospace Software Engineer
Description:

The role of this job is to aid in development of cislunar flight dynamics tools for the next generation of deep space exploration. These tools will be used within a larger ecosystem to facilitate missions in cislunar space.

– Must be familiar with orbit mechanics concepts

– Must have experience with Freeflyer and/or other astrodynamics tools

– Must have experience in Java, C#, Python, Node/TypeScript, or a similar programming language

– Previous experience working in any stage of a space mission desired

Title: Devops Engineer
Description:

The role of this job is to create the support structure for an ecosystem of cislunar space tools. This structure will be the foundational layer for the next generation of deep space exploration tooling.

– Must have experience with Linux container runtimes, such as Docker

– Must have experience developing on a cloud platform such as AWS, Azure, or GCP

– Experience with technologies such as Serverless Stack or Terraform preferred

– Experience with Python or Golang preferred

– Familiarity with deployment into “airgapped” systems preferred