Simulation Software Engineer – Cooperative Driving Applications at Leidos
Greenway, VA 22067
About the Job
Description
Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation (USDOT) onsite R&D lab located at the Turner Fairbank Highway Research Center. STOL’s focus is on improving transportation system operations to achieve USDOT’s safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R&D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, wireless communication, and experimental data collection and analysis. To promote these efforts, Leidos is looking for a Junior/Mid Simulation Software Engineer – Cooperative Driving Applications (CDA) to join our team!
Learn more about STOL here: STOL
Primary Duties:
- Assist in development of variety of applications and components in support of transportation research, including connected vehicles and human factors.
- Design, develop, and test new features and enhancements for existing simulation platforms, primarily in C++ in a Linux environment.
- Integration of new simulators into a co-simulation environment.
- Deployment of simulations in cloud environments for scalable compute.
- Resolution of bugs and anomalies reported by simulation users.
- Tuning of simulation parameters and configuration for specific applications.
Additional Duties May Include:
- Analyze and assess the team’s existing CDA software systems to comprehend their architecture, and how they can be redesigned into more modular, scalable, and maintainable components.
- Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams.
- Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work.
- Team up for the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs.
- Communicate across functions and convey findings accurately.
- Additional Simulation duties as assigned.
Systems of interest relate to the following:
- Open-source simulation technologies like CARLA, SUMO, NS-3
- Cloud computing architectures for cloud-based simulation
- Human-factors focused driving simulator technologies
- Integration of multiple simulators to form multi-resolution co-simulation platforms
- Construction of digital-twin simulation environments for real-world spaces.
- Intelligent Transportation Systems and Cooperative Driving Automation
- V2X communication hardware, software, and standards
- Vehicle automation and cooperation
- Data visualization and analysis
- Augmented reality (AR) and Virtual reality (VR)
Minimal Qualifications:
- Bachelor’s degree in computer science, computer engineering, or other science discipline (e.g., transportation engineering, electrical engineering, etc.) with 2+ years’ industry experience developing software or a Masters with less than 2 years of experience.
- Prior exposure with C++ and familiarity with scripting in Python or Bash in a Linux environment.
- Ability to obtain and maintain a Public Trust security clearance (which includes three years immediate residency in the US).
- Interest in working with emerging technologies and shaping the future of transportation.
- Working background with a distributed computing middleware (e.g. ROS, DDS, TENA, Kafka, etc.)
- Prior involvemen with automated unit testing frameworks and best practices.
- Technical writing skills to develop software documentation and support material.
- Familiarity with peer review best practices for software changesets, both for submitting code changes as well as reviewing them.
- Communication and collaboration skills to work with the STOL team as well as our on-site customer.
Desired Qualifications:
- 4+ years’ industry experience developing software.
- Project technical leadership, including planning and estimation of technical tasks.
- Hands-on development experience with:
- Vehicle dynamic and sensor simulation tools, such as CARLA, LGSVL, CARSIM, CARMaker or similar
- Communication simulation tools like NS-3, OMNET++, NetSim, OPNET, Matlab or similar
- Traffic simulation tools like SUMO, Vissim, Aimsun, TransModeler or similar
- Developing software systems in an open-source environment
- Working in an Agile development environment
- 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 with HD maps and tools (e.g., Roadrunner)
- Experience with creating 3D maps for 3D simulators (Unreal Engine, CARLA)
- Comprehension 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 publish/subscribe architecture patterns such as ROS and DDS
- 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
- UML design language
Original Posting Date:
2024-09-27While 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 Range:
Pay Range $65,000.00 - $117,500.00The 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.
