OUR SOFTWARE

AGILITY

PERCEPTION

High-speed, nimble maneuvers, intuitive controls

Monocular-inertial state estimation, object detection and tracking

GUIDANCE

Hazard avoidance, optimal trajectories, intelligent autonomy

 

Pittsburgh’s KEF Robotics one of nine finalists worldwide in prestigious Lockheed Martin drone competition

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ABOUT US

KEF Robotics is a software startup based in Pittsburgh, PA.  We focus on developing technologies to accelerate the deployment of UAV autonomy for applications in defense and aerospace. Co-founded by Kerry Snyder, Eric Amoroso and Fraser Kitchell in 2018, KEF has extensive experience in robotics research and development and commercialization, and finished as the leading team in DRL and Lockheed Martin's AlphaPilot Challenge.

Kerry Snyder: Kerry leads the development of Guidance, Navigation, and Control software and hardware deployment at KEF. Prior to KEF, he led the development of numerous hardware-software robotic systems for vision-based state estimation and embedded computing on rovers, drones, and spacecraft. He holds a B.S. in Computer Science with an additional major in Robotics from Carnegie Mellon University.

Avery Horvath: KEF's first hire, Avery leads research and development of the companies' UAV guidance software. She holds a B.S. in Astrophysics from the University of North Carolina.

KEF ROBOTICS

Eric Amoroso: Eric oversees the development of machine learning and simulation technologies at KEF Robotics. Previously, as a senior research engineer at Astrobotic, he was the technical lead on two research contracts with a US-based aerospace prime to develop GPS-denied visual state estimation to allow large UAVs to land safely. He received his B.S. in Electrical Engineering from the University of Pittsburgh.

Fraser Kitchell: Fraser serves as the CEO of KEF Robotics and leads the company's partnership development, technology commercialization, and corporate strategy.  In his prior role at Astrobotic Technology, Inc., he founded and led the company's research and development group to notable successes, including a $10M NASA Tipping Point award, numerous SBIRs, and technical development contracts with Bosch Research and a large US Aerospace contractor.  Fraser has a B.S. in Biology from Amherst College and M.S. in Energy Science from Carnegie Mellon University.

 
 

Role: Software Engineer 2 - Machine Learning/Computer Vision Speciality

*US Persons Only*

Location: Pittsburgh, PA (on-site only, relocation assistance available)

Status: Full-time

 

Compensation:

Base Salary: $80k-$100k

401k: 4x match on first 3% of employee contribution, 1 month service requirement.

Health Care: $200/month subsidy per employee

Equity: 1 year cliff, 4 year vest, immediate vesting.

Role Responsibilities:

  • Improve UAV autonomy through machine learning perception that leverages our state-of-the-art GNC technologies. 

  • Research, implement, and train neural networks for object detection and localization, image registration, depth estimation, and other challenging visual perception tasks.

  • Optimize inference for real-time computation on embedded platforms

Strongly Recommended Skills:

  • Empathetic and collaborative team player 

  • Proficiency with Python, familiarity with C++

  • Machine learning and experience programming within a popular ML framework (TensorFlow, PyTorch, etc)

  • Experience with supervised, semi-supervised, and transfer learning of neural networks

  • Familiarity with Linux and Linux tools

  • Experience in developing computer vision algorithms

  • Strong mathematical foundation of deep learning techniques

  • Ability to read scientific publications and implement proposed solution 

  • Experience testing UAVs in a variety of environments, both indoors and outdoors

Bonus Skills:

  • Familiarity with ROS (Robot Operating System)

  • Experience with robotics state estimation and simultaneous localization and mapping (SLAM) algorithms

  • Experience programming for embedded environments

  • Familiarity with nonlinear optimization techniques

  • Unreal Engine / Unity experience

  • Julia programming experience

  • Clear, concise technical writing skills

Role: Software Engineer 2, GNC/SLAM

*US Persons Only*

Location: Pittsburgh, PA (on-site only, relocation assistance available)

Status: Full-time

Compensation:

Base Salary: $80k-$100k

401k: 4x match on first 3% of employee contribution, 1 month service requirement.

Health Care: $200/month subsidy per employee

Equity: 1 year cliff, 4 year vest, immediate vesting.

Responsibilities:

  • Develop state-of-the-art autonomous drones capable of flying rapidly through challenging environments

  • Research and implement novel guidance, navigation, and control (GNC) and machine learning (ML) 

  • Optimize algorithms for real-time computation on embedded platforms

  • Improve physics based simulation environments and validate autonomous behavior within simulation

Strongly Recommended Skills:

  • Empathetic and collaborative team player 

  • Proficiency with C++ and Python

  • Experience with robotics state estimation and simultaneous localization and mapping (SLAM) algorithms

  • Experience programming for embedded environments

  • Familiarity with Linux and Linux tools

  • Experience developing computer vision algorithms

  • Field and lab testing experience

Bonus Skills:

  • Machine learning and experience programming within a popular ML framework (TensorFlow, PyTorch, etc)

  • Hardware prototyping skills (3D printing, soldering, assembly)

  • GPU programming (CUDA / OpenCL)

  • Familiarity with nonlinear optimization techniques

  • Familiarity with ROS (Robot Operating System)

  • Unreal Engine / Unity experience

  • Julia programming experience

  • Clear, concise technical writing skills

JOBS!

 

FIND US

contactus@KEFrobotics.com

We're always interested in exceptional robotics and software talent. Please note in your email header if you are seeking in employment.

© 2019 by KEF Robotics. 

Pittsburgh, PA