AI Engineer Sr - Computer Vision (hybrid, Fort Worth, Secret)

Lockheed Martin Corporation•Fort Worth, TX

28d•Hybrid

About The Position

Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly skilled and motivated individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a wide range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. What's In It For You: We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. At Lockheed Martin, we empower employees to think big, lead with a growth mindset, and make the impossible a reality. We provide the resources and flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced individual with a strong background in software engineering and computer science You have a strong work ethic, self-motivation, time management, and interpersonal skills You are familiar with current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) You have experience developing code to solve complex problems and field innovative solutions You are a team player with excellent communication skills and the ability to work effectively in a collaborative environment This role requests an active Secret Clearance to start.

Requirements

Experience with computer vision machine learning models and techniques
Experience with a deep learning library, such as PyTorch, Torch, Keras, Tensorflow, Scikit-learn (sklearn), or opencv
Experience with python

Nice To Haves

Master's Degree in Engineering, Computer Science, or other related discipline.
Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD)
Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS
Experience with at least one of the following communication protocols; REST or gRPC
Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives
Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows
Experience developing microservices and microservice architectures
Experience building and deploying software for defense mission systems
Experience with real-time embedded software engineering
Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)
Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)
Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)
Experience with high-performance computing
Experience interfacing with databases (SQL, MongoDB, etc.)
Experience leading other engineers or small teams
Familiarity with transitioning prototype software to production
Top Secret // SCI Clearance

Responsibilities

Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers
Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test
Participating in activities such as proof of concepts, development of prototypes, building demonstrators, and transition to production
Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
Developing code to solve complex problems and field innovative solutions