R&D Engineering Intern

DescriptionAre you interested in autonomous vehicles and intelligent transportation systems? Do you want to collaborate with scientists and engineers at a world-class federal R&D center for connected and automated vehicles? If so, you might be the perfect candidate for the Transportation Engineering R&D Lab Assistant internship at Leidos.Leidos is seeking Transportation Modeling Research and Development Engineers (R&D Engineers) to join our team at the Saxton Transportation Operations Laboratory (STOL) in McLean, VA. The Saxton Lab supports the USDOT and Federal Highway Administration (FHWA) with a range of transportation and operations research programs. This is a hands-on opportunity to be part of a large interdisciplinary research team that advances connected and automated vehicle technologies by developing, testing, and demonstrating new capabilities associated with vehicle-to-vehicle and vehicle-to-infrastructure communications (V2V, V2I, and V2X)Primary ResponsibilitiesYou may also participate in some or all the following activities:• Supporting the tech transfer team schedule technical stakeholder engagement sessions, draft agendas, facilitate technical discussions, and capture notes.• Assisting engineers and researchers with various phases of scientific research and laboratory upkeep.• Configuring hardware and software systems required for control of traffic signals, traffic management systems, and vehicle guidance systems.• Completing routine laboratory tasks as defined in Standard Operating Procedures (SOPs).• Contributing to the development of new best practices and SOPs for laboratory tasks.• Configuring electrical, scientific, or networking equipment under supervision of senior engineers.• Testing simulation environment, where tools can be tested safely and efficiently and new algorithms can be explored before deployment on hardware.• Script development, integration, and operation.• Data collection, parsing, display, storage, retrieval, and analysis.• Database operations and data warehousing.• Communications with network or hardware devices including radios.• Testing control of automated vehicles, infrastructure and vehicular radios.• Developing systems in an open-source environment for use by researchers across the country.Basic QualificationsTo qualify for this internship, you must have:• Currently enrolled in a degree program and working towards a degree in a relevant scientific or technical discipline such as Electrical Engineering, Civil Engineering, Computer Science, Automotive Technology, etc.• Aptitude for technology and interest in intelligent transportation solutions.• Good team player skills and ability to give and take constructive feedback.• Promptness, schedule-consciousness, and focus on the work at hand.• Valid driver’s license and suitability to operate a motor vehicle.• GPA included on your application and resume.• Ability to obtain and maintain a Public Trust security clearance (which includes three years of immediate residency in the US).Preferred QualificationsIt would be an advantage if you have experience or knowledge in some or all the following areas:• Experience with Microsoft Office, Dynamics, and PowerBI.• Cloud computing and cloud-based systems like Azure and AWS.• Automated driving system simulation technologies• Vehicle dynamic simulations and multi-resolution co-simulation• V2X communication hardware, software, and standards• Sensor fusion and perception• 3D and HD mapping• Augmented reality (AR) and Virtual reality (VR)Original Posting Date2024-08-01While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay RangePay Range $44,850.00 - $81,075.00The Leidos pay range for this job level is a general guideline onlyand 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.#Remote