Autonomy Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Are you a passionate and innovative autonomy engineer looking to help develop state of the art robots and AI products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values focused teammates? Shield AI is just the place for you! 

The Planning and Controls (PAC) team is an agile group of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world.

As a member of PAC Mission, you will work on task planning both for single robots as well as teams of robots. You will develop cutting edge algorithms while working with a close-knit team from diverse backgrounds. Your focus will primarily be on architecting and implementing coordination of robot teams and supporting cross-platform core planning capabilities.

What you’ll do:

Research, design, and implement state of the art teaming algorithms for real time autonomous systems

Take new features from ideation to prototyping, full implementation, flight testing, and all the way to field deployment

Develop tools for rapid prototypes, simulation, visualization, etc.

Participate in brainstorm sessions and software design for challenging issues

Develop your professional skills and knowledge via regular literature reviews and self-directed learning

Work in a collaborative development environment, with an emphasis on continuous integration & delivery, test-driven development

Work with middleware frameworks (e.g. ROS, PX4, etc.), build tools (e.g. CMake, Bazel), and compiler toolchains (e.g. gcc, llvm) 

Projects that you might work on:

• Design and implement an Executive Manager for single agents and heterogeneous teams
• Decompose user objectives into Tasks for robots to execute 
• Develop Task Assignment algorithms for robotic teams that are resilient to robots operating with degraded functionality

Required Qualifications

• BS in computer science or related engineering field with 2+ years of professional experience OR MS in relevant engineering field 
• Experience with research or state-of-the-art algorithms in at least one of the following areas: Task and Motion Planning, Planning under Uncertainty, Task & Resource Allocation, Heterogeneous or Homogeneous Robotic Teaming, Human Robot Teaming, Logistical Planning of Vehicle Routes
• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
• You have strong communication skills and are able to effectively articulate ideas and timelines to cross-functional groups