AI Engineer Sr - Computer Vision; hybrid, Fort Worth, Secret
Listed on 2026-01-02
-
Software Development
Software Engineer, DevOps
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 you’ll be doing- 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
We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here.
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
- Experience with computer vision machine learning models and techniques
- Experience with a deep learning library, such as PyTorch, Keras, Tensorflow, Scikit‑learn, or OpenCV
- Experience with Python
- Master’s Degree in Engineering, Computer Science, or a related discipline
- Experience with Dev Ops tools (Docker, Git, or Git Lab CI/CD)
- Experience with messaging protocols such as Kafka, Active
MQ, ZeroMQ, or DDS - Experience with communication protocols such as REST or gRPC
- Experience with Test‑Driven Development at unit and system levels
- Experience with software orchestration (e.g., Kubernetes, Helm, Istio) and modern Git Ops 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 CPUs and GPUs (e.g., CUDA, oneAPI, SYCL)
- Experience with model deployment libraries such as Tensor
RT, Triton Inference Server, or Onnx Runtime - Experience deploying AI‑enabled systems in multiple environments (cloud, edge devices)
- Experience with high‑performance computing
- Experience interfacing with databases (SQL, Mongo
DB, etc.) - Experience leading other engineers or small teams
- Familiarity with transitioning prototype software to production
- Top Secret or SCI clearance (this role requires an active Secret clearance to start)
This position requires a government security clearance. You must be a U.S. citizen for consideration.
Equal Opportunity EmployerLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).