Sr. Autonomy and Perception Engineer 

Work with a small, fast-moving and motivated team delivering next-generation legged robots for industrial, military and public safety applications.  Self-motivated, solid work ethic and ability to execute under demanding timelines and write code for mission-critical applications and find cutting edge solutions to commercializing next-generation complex robotic systems. Strong growth opportunity, and ability to help set the R&D direction as the company expands.


Ghost is venture and DoD financed with enormous potential to change the landscape of autonomous legged robotics with commercialization opportunities in enterprise, defense, public safety and eventually consumer segments. The company recently won sub-prime slots from two primes for the DRAPA SubT project, is working on several DoD projects, Innovation is an Award winner at AUVSI Defense Conference, and a finalist for the NVIDIA AI Inception Awards. 


Citizenship & Work Authorization Requirements

United States citizenship or permanent resident necessary to work on classified projects 


Minimum Experience Level

7+ years engineering experience with a minimum 3+ years in AI, perception or autonomous systems. Preferably in the aerospace, defense, industrial, robotics or automotive industry


Minimum Education

Master's in AI, robotics, software, electrical or other engineering discipline from a leading institution



Philadelphia, PA


Compensation & Work Environment   

Relocation package; competitive base w/ full benefits, highly-motivating equity incentive package. Flexible time-off and work-hours policy including office meals. Focus on output and ability to work with a stellar team of Ph.D.’s and experienced multi-disciplinary engineers covering mechanical, electrical, firmware, software, perception and autonomous disciplines.



  • Implement state-of-the-art fully autonomous behaviors and logic for legged based robots

  • Develop AI capable of performing tasks day in and day out without any human intervention

  • Integrate deep learning and other forms of advanced machine intelligence to improve robustness of AI

  • Develop low-level safeguard autonomy to prevent the robot from taking harmful actions 

  • Field test, debug and maintain autonomous software stack

  • Optimize existing autonomous framework for use on embedded devices

  • Develop high-level API to interface with the robot

  • Communicate and work seamlessly with other peers to ensure all responsibility are carried out


Qualifications and Experience 

  • Ability to read and write production level code in C/C++ while following best practices using git source control

  • Self-sufficient in integrating 3rd party libraries based on very limited/no documentation and reverse engineering; and ability to code algorithms from academic papers

  • Competent with advanced data structures, and very comfortable composing multiple transforms 

  • Thorough understanding of computer vision approaches as described in the book Multiple View Geometry

  • Modifying and training deep learning models using TensorFlow and/or Caffe and interfacing in C++ environment

  • Working with computer vision systems on robots and with sensor fusion using graph-based optimization

  • Has implemented SLAM on a robot in some form or fashion 

  • Experience with vision-aided Inertial navigation and 3D reactive path planning 



Apply with qualifications and cover letter

Apply​ with qualifications and cover letter​

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