Software Engineer - Computer Vision & AI jobs in United States
cer-icon
Apply on Employer Site
company-logo

General Dynamics Land Systems · 1 month ago

Software Engineer - Computer Vision & AI

General Dynamics Land Systems is a business unit of General Dynamics, a Fortune 100 global aerospace and defense company. They are seeking a Software Engineer to develop and implement advanced autonomous capabilities for ground combat vehicles, focusing on areas such as mobility, situational awareness, and operational mission planning.

AerospaceManufacturingMilitary

Responsibilities

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

Qualification

C++Machine LearningComputer VisionLinux ArchitecturesCUDADeep Learning FrameworksScripting SkillsEmbedded SystemsPub/Sub ServicesTroubleshootingTeamworkCommunication Skills

Required

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 to climb 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

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

Benefits

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

Company

General Dynamics Land Systems

company-logo
GDLS specializes in the design, development, production, support, and enhancement of tracked and wheeled military vehicles. It is a sub-organization of General Dynamics.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Jeffrey Massimilla
Global Vice President of Engineering, Design and Technology
linkedin
Company data provided by crunchbase