Are you interested in improving and shaping the transportation industry with a group of intelligent and motivated individuals? Consider joining the Leidos team operating the Federal Highway Administration (FHWA)'s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation safety, operations, and mobility impacts. STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation.
Location: This role will be expected to work full-time at the customer site in McLean, VA.
Candidates MUST: Be US Citizens or Green Card Holders who are currently in the United States for the current three consecutive years and be eligible for a Public Trust Clearance.
Leidos is seeking a Junior Software Engineer Smart Mobility to join a highly successful team in researching and developing automated transportation technologies to shape the future of transportation. We are looking for someone who is motivated by variety, thrives in a challenging environment, seeks professional growth, and will be a key part of a team developing and extending a variety of applications and components to improve results that impact the transportation industry. The successful candidate will engage in various projects aiming to develop and optimize the use of advanced technologies (such as autonomous vehicles (AVs), connected and autonomous vehicles (CAVs), and intelligent transportation systems (ITS)) to improve the safety and operation of multimodal transportation systems.
A Master's degree in computer science, engineering, or other science discipline with 1-2 years of relevant experience, OR a Bachelor's degree with 2-4 years of relevant experience. Strong interest in working with emerging technologies and shaping the future of transportation. Hands-on experience developing, testing, and troubleshooting software written in Python and C++ in a Linux environment. Background with automation or robotics principles. Understanding of mathematical fundamentals, including geometry, linear algebra, probability, and statistics. Prior experience with developing software leveraging Robot Operating System (ROS) 2 using either Python or C++. Understanding of software quality control techniques and practices (automated unit testing, continuous integration, etc.). Experience with Git for software version control. Strong written and verbal communication skills with ability to collaborate across diverse teams. Familiarity with one or more robotics concepts such as perception, motion planning, and control. Ability to work in a fast-paced, research-oriented environment with travel up to 10% for stakeholder engagement, testing, and site visits. Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). All applicants must be legally authorized to work in the United States without company sponsorship.
Strong understanding of vehicle kinematics and dynamics modeling. Experience building or leveraging perception algorithms and software libraries. Experience deploying robotics platforms in the real world and/or in simulation. Experience developing in an Agile framework using toolsets such as JIRA and Confluence. Familiarity with simulation environments such as CARLA. Experience developing and executing simulations in MATLAB/Simulink. Self-motivated with a demonstrated ability to explore new tools, frameworks, and techniques.
Anticipated salary range for this role is $80,000-$100,000
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