Robotics Computer Engineer

Leidos•Huntsville, AL

4d•Hybrid

About The Position

The Contested Autonomy and Navigation Branch, part of the Non-Kinetic Effects Business Area within the Defense Sector at Leidos, provides cutting-edge navigation solutions for customers operating in environments where GPS alone isn’t reliable. This position offers career progression, leading functional teams with continued advancement potential. The role involves leading and directing both analytic and hands-on tasks, including development, simulation, analysis, and field testing of navigation algorithms supporting autonomous robotic operations. The team performs research, development, and advanced prototyping for DARPA, NASA, Air Force Research Laboratory, Office of Naval Research, and Army Combat Capabilities Development Command engineering centers. Work is performed in small teams using spiral or agile development to meet aggressive schedules aimed at near-term field demonstrations. The work involves making advanced technologies work in the real world.

Requirements

Bachelor’s degree in advanced technical field (electrical engineering, computer engineering, aerospace engineering, or equivalent) and 8+ years of prior relevant experience or master’s degree with 6+ years of prior relevant experience.
Experience programming in C/C++ with additional experience in Python or MATLAB.
Linux operating system familiarity.
US Citizen able to obtain & maintain a Secret security clearance after hiring.

Nice To Haves

Master’s or PhD Degree in one of the majors listed above.
Experience interfacing to sensors such as inertial sensors, GPS, altimeters, cameras, LiDAR, odometers, etc.
Experience deploying navigation algorithms to real-time applications.
Experience with Linux, C++, and/or Python.
Experience with version control tools, especially Git and Gitlab.
Experience with autonomous system development through robotics competitions.
Existing US security clearance (Secret or above).

Responsibilities

Lead small teams of cross-domain engineers spanning electrical, computer, mechanical, and software.
Integrate sensors and computing platforms over various electrical interfaces (e.g. RS232, RS422, SPI, I2C, TCP/IP, etc).
Deploy novel algorithms for optimal estimation and/or computer vision to various processing architectures for real-time execution.
Enhance software architecture with software design, programming, and code reviews.
Lead field demonstrations and customer interfacing with additional engineering support.
Travel with the team to demonstrate systems in real-world conditions; typically lasts 1-2 weeks and occurs 3-4 times a year.
Present techniques, solutions, and results to the team and to customers.