Mid-Level Software Engineer

Description

Are you interested in improving and shaping the transportation industry in a group of intelligent and motivated individuals? Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to boost the advancement and deployment of emerging technologies, including vehicle automation and communication. 

Our team does cutting-edge research at the Turner Fairbank Highway Research Center, often collaborating with federal, state, and industry subject matter experts. We are part of a larger, agile research team in a fast-paced environment that pushes the boundaries of connected and autonomous vehicle technology for the Federal Highway Administration (FHWA). STOL provides a variety of services to sponsor the advancement and deployment of emerging technologies, including vehicle automation and communication. 

To promote these goals, Leidos is looking for a Mid-level Software Engineer to join our team! This experienced software engineer will design, build, test, and maintain open-source C++ systems to sponsor multiple research and development projects related to vehicle automation, Vehicle-to-Everything (V2X) communication, and Cooperative Driving Automation (CDA). Automated unit tests are routinely developed and maintained as the software evolves.  Where necessary, user documentation is generated or updated to reflect changes in the software functionality.  All documentation, code and unit tests are routinely subjected to peer review in an open-source environment. Occasional interaction with on-site customer representatives will be part of the job.

Primary Responsibilities:

·       Conduct C++ ROS2 software package design, algorithm implementation, testing, and debugging, as it relates to vehicle path planning, localization, perception, and both vehicle-to-vehicle and vehicle-to-infrastructure communications.

·       Play a key role in maintaining and enhancing the operation of the US Department of Transportations (USDOT) open source connected and automated vehicle tools, such as CARMA Platform, CARMA Streets, and V2XHub.

·       Boost vehicle integration testing both onsite in Mclean, VA, as well as offsite as necessary to meet project deliverable timelines. 

·       Work with project managers to craft software development roadmaps based on initial designs, while accounting for defined project budgets and timelines. Additionally, assist in crafting and estimating well-defined user stories for developers to take on as part of their workload within a three-week agile sprint cycle.

·       Work with colleagues across multiple teams (software developers, project managers, systems engineers, and others), and use software development expertise to mentor other developers.

·       Deliver robust software by developing thorough unit tests in support of continuous integration, while also conducting integration testing both in-vehicle and in a simulation environment. 

·       Provide constructive feedback on GitHub Pull Requests made by other team members to help them improve their implementation skills, while also being open to feedback on your own code contributions.

·       Promote both the internal development team and external users of our open-source software by developing clear and helpful documentation throughout all phases of the development process, including detailed design documents, helpful/concise comments within developed code, and informative descriptions in generated GitHub Pull Requests and Issues.

·       Interact with on-site customer representatives as needed throughout a project’s life cycle to provide updates related to software design, development, and testing.

Basic Qualifications:

·       B.S in computer science, engineering, or other related field and 4+ years of prior relevant experience or a M.S with 2+ years of prior relevant experience.

·       Ability to obtain and maintain a Public Trust security clearance.

·       Prior background in C++ software development.

·       Extensive experience designing, architecting, developing, testing, and troubleshooting software written in C++ and/or Python in a Linux environment.

·       Background with automation or robotics principles, as well as Robot Operating System (ROS).

·       Comprehension of quality techniques and practices (automated unit testing, test-driven design/development, continuous integration, etc.).

·       Experience with Git, Docker (including docker-compose), and continuous integration/continuous deployment using Docker and Sonar Cloud.

·       Mathematical fundamentals, including geometry, linear algebra, probability, and statistics.

·       Familiarity with one or more robotics concepts such as localization, perception, motion planning, and control.

Preferred Qualifications: 

·       Background deploying robotics platforms in the real world and/or in simulation.

·       Expertise in vehicle kinematics, dynamics, and controls.

·       Knowledge of GPU toolkits such as CUDA.

·       Background developing in an Agile framework using toolsets such as JIRA and Confluence.

·       Familiarity with simulation environments such as Unreal or Unity.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 47,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022.   For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.