Description:

You will be the AI/ML Research Engineer Sr for the Autonomy & Artificial Intelligence (A/AI) team. Our team creates cutting‑edge machine‑learning and computer‑vision solutions that enable safe, mission‑critical capabilities for Lockheed Martin Missiles and Fire Control.

What You Will Be Doing

As the AI/ML Research Engineer Sr you will be responsible for designing, implementing, and validating advanced AI/ML algorithms that solve complex perception challenges.

Your responsibilities will include, but are not limited to:

• Design, implement, and test deep‑learning object‑detection and classification pipelines, including image‑processing and data‑augmentation techniques for missile and fire‑control products.

• Develop, verify, and validate complex models and simulations that leverage convolutional neural networks, transformers, generative AI, and related techniques.

• Deploy and integrate AI/ML algorithms to CPUs, GPUs, and edge devices, ensuring performance meets system‑level requirements.

• Evaluate system performance in realistic scenarios, conduct HWIL (Hardware‑In‑The‑Loop) testing, and support ground‑and flight‑test activities.

• Support program reviews, technical‑interchange meetings, and customer engagements by presenting results and recommending mitigations.

Why Join Us

We are looking for a collaborative, purpose‑driven professional who thrives on turning research into operational capability. This role offers high visibility, direct impact on mission‑critical systems, and a clear path for career growth within a world‑class aerospace organization.

We are committed to supporting your work‑life balance and overall well‑being, offering flexible 4‑day × 10‑hour schedules. Learn more about Lockheed Martin’s comprehensive benefits package here.

Further Information About This Opportunity

This position is in Orlando. Discover more about our Orlando, Florida location.

MUST BE A U.S. CITIZEN – This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance. A company‑sponsored interim secret clearance is required to start.

Basic Qualifications:

• Candidate must have a Bachelor's degree in computer science, computer engineering, electrical engineering, applied mathematics, or related field

• 2+ years of experience in embedded systems, edge computing, or AI deployment

• Strong proficiency in deep learning frameworks
  (Py Torch, Tensor Flow, ONNX)

• Experience deploying neural networks on embedded/edge devices

• Must have the ability to obtain a DoD Secret Security Clearance, therefore must be a U.S Citizen.
  Desired Skills:

• Familiarity with at least one of the target platforms (NVIDIA Jetson, AMD Versal, Intel edge AI)

• Proficiency in Python and C++ for model deployment and optimization

• Understanding of neural network architectures and their computational requirements

• Knowledge of model optimization techniques (quantization, pruning, knowledge distillation)

• Knowledge of hardware acceleration techniques (CUDA, OpenCL, Vulkan)

• Familiarity with AMD Xilinx tools (Vitis AI) and FPGA programming

• Experience with TensorRT, OpenVINO, or other inference optimization frameworks

• Background in computer vision, signal processing, or other application domains

• Experience with containerization and edge deployment workflows (Docker, edge orchestration)

• Understanding of power and thermal management in edge devices

• Problem-solving mindset with attention to real-world deployment challenges

• Self-motivated with ability to work independently and collaboratively
  Security Clearance Statement:

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

Secret with Investigation or CV date within 5 years
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:

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules:

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position:

4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level:

Experienced Professional
Business Unit:

MISSILES AND FIRE CONTROL
Relocation Available:

Possible
Career Area:

Artificial Intelligence
Type:

Full-Time
Shift:

First