Salary Range: 157080 to 235620 (Currency: USD) (Pay period: per-year-salary)

What you’ll do:

• Research, design, and implement state of the art teaming algorithms for real time autonomous systems 
• Develop core systems that must be portable and scalable across different UAS platforms and compute architectures 
• Work with our engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions. 
• Work with soft or hard real-time operating systems 
• Work with and deploy our AI stack to edge devices 
• Collaborate with our DevOps teams to architect and maintain our cloud infrastructure (Docker and Kubernetes) and assist with cross-platform builds for a variety of architectures (e.g. Arm, X86, CMake, Bazel, gcc, llvm, etc.)  

Projects you might work on:

• A Multi Agent Executive Manager for heterogeneous teams, which allocates members of flight wings to real-time emergent tasks. 
• State of the art assignment, planning, or scheduling algorithms to vastly reduce operator overhead or operate in denied environments autonomously. 
• NATO system interoperability and command chains for our autonomous vehicles 
• End to end simulation and analysis for software- and hardware-in-the-loop testing and continuous integration.  

Required qualifications:

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Proficient with C++ 11 or newer in a production environment 
• Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development 
• Strong knowledge of modern software engineering best practices 
• Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others 
• Strong organizational skills