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Algorithm Development – Intern

Lockheed Martin Corporation

This is a Full-time position in Orlando, FL posted October 21, 2021.

COVID-19 continues to significantly impact our employees, families and communities.

With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

As directed by Executive Order 14042: Ensuring Adequate COVID Safety Protocols for Federal Contractors, effective December 8, 2021, Lockheed Martin will require all newly hired employees, in the United States, must be fully vaccinated before their start date.

Description:Lockheed Martin Missiles and Fire Control (MFC) is inviting talented college students to apply to our competitive Algorithm Development Internship Program to bring advanced capabilities to our innovative product lines.

Click here to learn more about MFC.

Prospective students should currently be enrolled in a STEM degree program at an accredited college or university.

They should have strong interests in large-scale data analysis, as well as the design and development of high-performing algorithms deployed to embedded systems.

Flexible onboarding dates are available for Spring 2022 (January 2022 start dates).

This internship durations can span from 3 to 6 months.

Interns participating in the Algorithm Development Program will gain valuable skills and experience in one or more of these critical technological areas and have opportunities to see their work deployed in our state of the art products:

• Image & Signal Processing

• Multi-Object Tracking and Object Classification

• Supervised Machine Learning / Deep Learning / AI

• Dynamics Modeling (6-Degrees of Freedom)

• Optimal State Estimation & Kalman Filtering

• Navigation (inertial, GPS-aided, terrain-aided, celestial-aided)

• Computer Vision

• Pattern Recognition

• Numerical Methods

• Probabilistic Modeling & Monte Carlo Methods

• Multivariate Statistics and Hypothesis Testing

• Aircraft Attitude Estimation

• Gimbal Control and Precision Pointing

• Physics Modeling of Motion Sensing Devices (gyros, accelerometers, magnetometers)

• Physics Modeling and Simulation of Electro-Optical Systems (telescopes and focal plane arrays)

• Physics of Infrared Photon Detectors

• Radiometry
Basic Qualifications:

• Bachelors, Masters, and PhD students specializing in Computer Science, Machine Learning/AI, Data Science, Applied Mathematics, Physics, Aerospace Engineering, Electrical Engineering, or Mechanical Engineering are especially encouraged to apply.

• Candidates must be eligible for a DoD Security Clearance.

Desired Skills:

• Coursework in linear algebra, multivariate calculus, and statistics

• Familiarity with MATLAB or Python language for large-scale data analysis

• Strong programming skills that can translate to C++ development in a Linux environment

• A strong sense of curiosity and an innovative spirit
BASIC QUALIFICATIONS:
job.Qualifications

Lockheed Martin is an Equal Opportunity/Affirmative Action Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Join us at Lockheed Martin, where your mission is ours.

Our customers tackle the hardest missions.

Those that demand extraordinary amounts of courage, resilience and precision.

They’re dangerous.

Critical.

Sometimes they even provide an opportunity to change the world and save lives.

Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges.

Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

EXPERIENCE LEVEL:
Co-op/Summer Intern

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