AI Research Engineer ; hybrid, Grand Prairie, Secret Security Clearance

Position: AI Research Engineer Staff (hybrid, Grand Prairie, Secret) with Security Clearance
Job Number 708448

Description:

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 motivated and experienced 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 broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers.

With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry. 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 a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning 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

• Assuming technical lead responsibilities and mentor junior engineers What's In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here . Lockheed Martin provides the resources and the 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 foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)

• Experience with software development and deployment

• Excellent self-motivation, strong work ethic, time management, and interpersonal skills

• The ability to work effectively in a team environment and assume technical lead responsibilities

• A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry #LMLAIC

Basic Qualifications:

• Bachelor's Degree in Engineering, Computer Science, or other related discipline
• Experience with an interpreted language; python

• Experience with a deep learning library;
PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or openCV

• Experience applying machine learning techniques on projects;
Supervised Learning or Unsupervised Learning or Semi-Supervised Learning or Reinforcement Learning

• Secret Clearance
Desired

Skills:

• Master's Degree in Engineering, Computer Science, or other related discipline.

• Experience with Dev Ops tools (Docker/Podman, Git, or Git Lab CI/CD)
• Experience with at least one of the following messaging protocols;
Kafka or Active

MQ 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 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 both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)
• Experience with model deployment software libraries and stacks (e.g. NVIDIA Tensor

RT, Triton…