Leidos Inc Hiring for Simulation Team Lead at McLean, VA  Full Time

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 USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and deployment of emerging technologies, including vehicle automation and communication.

Leidos is part of a larger FHWA research team in a relaxed, laboratory environment that pushes the boundaries of connected and autonomous vehicle technology for the FHWA. The team at STOL demonstrates capabilities associated with vehicle-to-vehicle and vehicle-to-infrastructure communication that will support the larger Intelligent Transportation System initiatives.We also study human factors, such as a driver’s ability to recognize and react to various situations, including interaction with automated vehicles.

To support these goals, Leidos is hiring a Simulation Team Lead to work in McLean, Virginia as part of a team of researchers developing the latest transportation research technology.

The Simulation Team Lead will lead and direct of a team of developers writing and extending a variety of applications and components in support of transportation research, including connected vehicles and human factors. The simulation team focuses on moving elements of the transportation ecosystem into a simulation environment, where tools can be tested safely and efficiently and new algorithms can be explored before deployment on hardware.

The simulation team assignments may include simulation development, integration, and operation; data parsing and composition; communications with network or hardware devices including radios; guidance algorithms; control of automated vehicles; data collection, display, storage, retrieval, and analysis; rendering of visual scenes; database operations and data warehousing; and developing systems in an open-source environment for use by researchers across the country.

The successful candidate will lead and participate in the design, development, and testing of software, primarily in C++ in a Linux environment, but may also require C, Java, Python, C#, SQL, Javascript, or scripting. Software will routinely be developed across Linux, Windows, and cloud platforms. Where necessary, user documentation is generated or updated to reflect changes in the software functionality. Documentation, code, and unit tests are routinely subjected to peer review in an open-source environment.

This role will play a significant role in implementing, adopting, and evaluating Vehicle-to-anything (V2X) and Automated Driving System (ADS) simulation technologies developed both in-house and by others.

The work will be approximately split between project work (~50%), team management (~35%), and proposals (~15%).

Systems of interest relate to the following:

• Cloud computing and cloud-based simulation
• Automated driving system simulation technologies
• Vehicle dynamic simulations and multi-resolution co-simulation
• V2X communication hardware, software, and standards
• Vehicle automation and cooperation
• Sensor fusion and perception
• Traffic simulation
• Driving simulator
• 3D and HD mapping
• Data visualization
• Traffic operations
• Intelligent transportation systems.
• Augmented reality(AR) and Virtual reality(VR)

Required Education & Experience:

• Bachelor’s degree in computer science, computer engineering, or other relevant science or engineering discipline (e.g., transportation engineering, electrical engineering, etc.)
• 6+ years of experience developing software with progressively increasing responsibilities.
• 2+ years of experience leading a team of engineers (2-5) including hiring, career development, personnel management, and resource loading.
• Ability to obtain and maintain a Public Trust security clearance (which includes three years of immediate residency in the US).
• High level of knowledge and experience with C++ and Python.
• Experience leading in an agile development environment.
• Experience with distributed computing middleware (e.g. ROS, DDS, TENA, Kafka, etc.)
• Cloud computing development and configuration.
• Operation and development for driver-in-the-loop, software-in-the-loop, hardware-in-the-loop, or motion platform simulators.
• Experience developing proposals including technical details, work estimates, and costing.
• Valid driver’s license in the US.

Desired Experience:

• Hands-on experience with traffic simulation tools like SUMO, Vissim, Aimsun, TransModeler or similar.
• Hands-on experience with vehicle dynamic and sensor simulation tools, such as CARLA, LGSVL, CARSIM, CARMaker or similar.
• Hands-on experience with communication simulation tools like NS-3, OMNET++, NetSim, OPNET, Matlab or similar.
• Experience managing projects and programs using agile development tools (e.g. Jira, Confluence).
• Developing software systems in an open-source environment
• Agile Scrum Master certification
• Cloud computing development and configuration
• Experience with HD maps and tools (e.g., Roadrunner)
• Experience with creating 3D maps for 3D simulators (Unreal Engine, CARLA)
• Understanding of communication protocols – TCP/UDP, SNMP
• Knowledge of IP concepts, techniques, and common practices (e.g., working with sockets, internal vs external IP addressing, routing, etc)
• Familiarity with concepts of co-simulation or co-simulation frameworks (FMI/HLA/MOSAIC)
• Knowledge of vehicle electronic systems and standards (SAE, ISO, etc.)
• Experience with Git, Maven, Gradle, Docker and continuous integration
• Software development for AR and VR technology

Anticipated pay range for this role: $85,000 – $100,000 – $115,000

Pay Range:Pay Range $78,000.00 – $120,000.00 – $162,000.00

The 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.