AI Research Engineer ; hybrid, Grand Prairie, Secret

Position: AI Research Engineer Staff (hybrid, Grand Prairie, Secret)

Description:

What You Will 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.

Who You Are:

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

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 Inference Server, Onnx Runtime)
• Experience deploying AI-enabled systems in multiple environments (e.g. 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 // SCI Clearance

Security Clearance Statement:

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level:

Secret

Other Important Information You Should Know Expression of Interest

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely

Part-time Remote Telework:
The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules

Lockheed Martin…