We are seeking a talented Lead Autonomy Software Engineer to help us improve our world class autonomy platform.
We are a fast-paced team specializing in building next generation autonomy for surface vessels employing state of the art technology from a variety of fields – operator interfaces, sensing, planning, and hardware control.
Our product allows naval vessels to operate fully autonomously while safely reacting to the world around it.
With over 100 vessels in operation and 2,000 days logged at sea our product is one of the best solutions in the world and we are leading the effort toward naval autonomy in commercial and defense spaces.
Our software developers are a team of highly talented individuals.
We take pride in the quality of our product, and we encourage all our developers to take ownership and personal responsibility.
We have a strong culture of review and mentoring as part of our collaborative commitment to excellence.
Our goal is to provide an extremely accessible work environment that empowers developers to tackle hard problems.
We value the best ideas, whether from an intern or a lead, and every individual can have a significant impact on our success.
Our success is due to the people we employ – if you’re smart, adaptable, highly productive, a team player, and relish the challenge that comes with solving difficult problems, join us.
Design, document, develop, integrate, and test software using C++
Participate in peer reviews of design and software
Participate in requirements development
Participate in system architecture development
Participate in project estimation, scheduling, and tasking
Provide technical supervision and mentoring of developers
Research and review white papers, with the ability to technically discuss the pros and cons of said approach
Analyze performance data in order to identify strengths and weaknesses in the system
Must be a US Citizen with the ability to obtain a US DoD Secret clearance
Bachelor’s degree in Computer Science/Engineering or related field
6+ professional software development experience
Strong working knowledge of computer science theory and practice
Strong working knowledge of software development using modern C++ and STL
Strong working knowledge of collaborative software development in a Linux environment
Knowledge of design patterns
Strong working knowledge of linear algebra
Strong working knowledge of extended Kalman filters and nonlinear state estimation
Strong working knowledge of shallow learning, neural networks, and deep learning techniques
Strong working knowledge of Bayesian statistics
Ability to travel 10% of time
Preferred Additional Skills:
Strong working knowledge of OpenCL or CUDA
Strong working knowledge of OpenCV Strong working knowledge of Eigen
Working knowledge of Python
Strong working knowledge of machine learning performance metrics, such as mAP and IoU
Familiarity with marine sensing equipment, i.e. GPS, radar, and AIS
Experience designing multi-sensor, multi-target sensor fusion algorithms for target state estimation