Join an agile highly motivated team of engineers responsible for the development and implementation of emerging autonomous technology for use in ground combat vehicles. The function of this position is to support the development of advanced autonomous capabilities across the domains of mobility, situational awareness, reconnaissance, human-machine integration, and operational mission planning & execution. Product teams work together using the latest advances in Machine Learning, Artificial Intelligence, and Model Based Systems Engineering to bring these concepts to reality.
Company Information
General Dynamics is a successful Fortune 100, global aerospace and defense company, with over 90,000 employees world-wide. General Dynamics Land Systems, a business unit of General Dynamics, has a strong foundation of delivering core engineering and manufacturing capabilities to our clients for military vehicles. Our team is focused on continuous process and productivity improvements that reduce product costs, while increasing troop safety and effectiveness. Land Systems continues to work with the US Armed Forces and its Allies to ensure these vehicles remain survivable, relevant, flexible, affordable and capable of addressing a dynamic threat environment.
Hybrid/Onsite: Due to the nature of the work, this role may require on-site presence up to 90%.
What We Offer:
Starting your career or you are an experience professional, we offer a Total Rewards package that is Impactful and built for you.
- Healthcare including medical, dental, vision, HSA and Flex Spending
- competitive base pay, incentive pay that rewards individual and team performance, and comprehensive benefits.
- 401k Match (6%)
- Educational Assistance
- 9-80 Work Schedule (This position's standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off.)
- On-going learning opportunities within a diverse, inclusive and rewarding work environment
- Onsite Cafeteria, remodeled with new equipment Fitness Center, and Outdoor fitness track
Responsibilities to Anticipate:
- Software design and development efforts regarding a mix of advanced capabilities, including but not limited to:
- Advanced Situational Awareness
- Autonomous Mobility and Advanced Driver Assistance Systems
- End to End Video Processing and Distribution
- Artificial Intelligence and Machine Learning
- Support services / APIs
- Conduct research and evaluation of emerging techniques and technologies
- Provide input to help develop technology roadmaps
- Work with vendors/partners to integrate functionality of their systems/subsystems seemingly onto GDLS platforms.
- Work with in-house developed & 3rd party tools and machine learning pipelines
- Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks.
- Generate documentation, software code and other artifacts for technology transfer to production programs.
- Participate in development and presentation of design reviews
- Participate in internal and customer demonstrations.
- Participate in peer reviews, identify, track and assess solutions to defects.
- Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, operational performance requirements, and design of the overall system.
Required Qualifications:
- Bachelor or Master's degree in engineering, computer science, or a related technical field.
- Minimum of 5 years related engineering experience
- Have broad and deep technical understanding on various software architectures, design patterns and underlying technologies that support them.
- Expertise in C++ and Object-Oriented Architecture and Design Experience
- Expertise working in various Linux architectures like ARM, x86, AMD64, NVIDIA Jetpack, L4T
- Expertise with CUDA, NVCodec, Deepstream, and GPU programming.
- Expertise with the following ML/AI tool kits; Pytorch, Tensorflow, Huggingface
- Good understanding of concepts like image processing, object recognition, and feature extraction
- Strong scripting skills, including shell scripts, i.e. Bash, Python, Systemd.
- A solid understanding of linear algebra, calculus, and statistics
- Strong experience with computer vision frameworks (OpenCV and Gstreamer).
- Experience in porting ML/AI algorithms to embedded GPU and Nvidia GPU tools
- Strong experience with pub/sub services and RPCs like DDS, ROS, ZeroMQ, gRPC.
- Experience evaluating emerging technologies and success with integration of technologies onto platforms/products.
- Experience in Linux application design from packaging, GUIs, compatibility, and real-time performance.
- Theoretical and practical knowledge of machine learning techniques and familiar with common neural network architectures; experience in using CNN, DNN, FCN, and reinforcement learning to solve practical problems.
- Works well in a team and individually.
- Ability to perform general hands-on troubleshooting of electromechanical systems.
- Be goal oriented and keep the team focused to task.
- Be able to multi-task on simultaneous development projects, ensuring adherence to budget, schedule, and mission scope.
- The flexibility to work non-duty hours or on weekends as needed by the project.
- Strong communication, interpersonal, and people skills required.
- This position will require the candidate to be able toclimb on/off, work in, and work around military vehicles is desired.Must be able to pass ASR test (Anthropometric Size Requirement for confined space).
- Ability to travel when needed, minimal travel required for this role.
Preferred Qualifications:
- Experience in Virtual Machines and containerization (Docker, Podman).
- Experience designing/orchestrating Machine Learning architecture and computing.
- Experience in porting ML/AI algorithms to embedded FPGA chipsets
- Experience with Xilinx FPGA tools
- Experience with defense department processes and documentation standards
- Familiarity with architectures, development and integration of military vehicles
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General Dynamics Land Systems
401(k)
Nov 21, 2025