Leading Robotics Software Engineer

4 days ago


Pittsburgh, Pennsylvania, United States Near Earth Autonomy Full time
Job Overview

We are seeking a skilled Sr. Robotics Engineer to join our team at Near Earth Autonomy, where we are pushing the boundaries of autonomous flight technology.

Salary: $140,000 - $180,000 per year

About the Role

The successful candidate will be responsible for developing, refining, and deploying planning and controls algorithms for autonomous aircraft applications, with a focus on motion planning and controls for vehicle guidance.

This is a challenging role that requires strong technical expertise, leadership skills, and the ability to work effectively in a collaborative team environment.

Responsibilities
  • Develop and deploy planning and controls algorithms for autonomous aircraft applications
  • Integrate these algorithms onto platforms ranging from small quadcopters to full-scale helicopters
  • Provide technical leadership to guide projects through their complete lifecycle from conception through production
  • Mentor junior engineers and contribute to the development of best practices within the team
Requirements
  • Bachelor's degree in Aerospace Engineering, Robotics, Computer Science, Computer Engineering, or equivalent
  • 5+ years' experience in aerospace, robotics or autonomous flight domains
  • Expertise in motion planning and controls for vehicle guidance, including discrete search, randomized search, and optimization methods
  • Experience with simulation and modeling of vehicle dynamics, software benchmarking, optimization, and multi-threaded development
  • Good software design and programming skills with experience in C++
  • Familiarity with software engineering practices and software development life cycle, as well as development in a Linux environment
Preferred Qualifications
  • Master's or Ph.D. in Robotics, Aerospace Engineering, Computer Science, or a similar field
  • Expertise in motion planning and controls for aerospace applications, including ROS or ROS2, and field testing of aerial robotic systems
  • Experience with multivariate optimization and nonlinear controls, as well as guidance and control toolboxes including automatic code generation
  • Leadership experience, including team management and mentoring new engineers


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